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David Scott W. Multivariate Density Estimation. Theory, Practice, and Visualization


Clarifies modern data analysis through nonparametric density estimation for a complete working knowledge of the theory and methods Featuring a thoroughly revised presentation, Multivariate Density Estimation: Theory, Practice, and Visualization, Second Edition maintains an intuitive approach to the underlying methodology and supporting theory of density estimation. Including new material and updated research in each chapter, the Second Edition presents additional clarification of theoretical opportunities, new algorithms, and up-to-date coverage of the unique challenges presented in the field of data analysis. The new edition focuses on the various density estimation techniques and methods that can be used in the field of big data. Defining optimal nonparametric estimators, the Second Edition demonstrates the density estimation tools to use when dealing with various multivariate structures in univariate, bivariate, trivariate, and quadrivariate data analysis. Continuing to illustrate the major concepts in the context of the classical histogram, Multivariate Density Estimation: Theory, Practice, and Visualization, Second Edition also features: Over 150 updated figures to clarify theoretical results and to show analyses of real data sets An updated presentation of graphic visualization using computer software such as R A clear discussion of selections of important research during the past decade, including mixture estimation, robust parametric modeling algorithms, and clustering More than 130 problems to help readers reinforce the main concepts and ideas presented Boxed theorems and results allowing easy identification of crucial ideas Figures in color in the digital versions of the book A website with related data sets Multivariate Density Estimation: Theory, Practice, and Visualization, Second Edition is an ideal reference for theoretical and applied statisticians, practicing engineers, as well as readers interested in the theoretical aspects of nonparametric estimation and the application of these methods to multivariate data. The Second Edition is also useful as a textbook for introductory courses in kernel statistics, smoothing, advanced computational statistics, and general forms of statistical distributions.

8588.63 РУБ

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Thomas Blumentritt On Copula Density Estimation and Measures of Multivariate Association


Measuring the degree of association between random variables is a task inherent in many practical applications such as risk management and financial modeling. Well-known measures like Spearman's rho and Kendall's tau can be expressed in terms of the underlying copula only, hence, being independent of the underlying univariate marginal distributions.Opposed to these classical measures of association, mutual information, which is derived from information theory, constitutes a fundamentally different approach of measuring association. Although this measure is likewise independent of the univariate margins, it is not a functional of the copula but of the corresponding copula density.Besides the theoretical properties of mutual information as a measure of multivariate association, possibilities to estimate the copula density based on observations of continuous distributions are investigated. To cope with the effect of boundary bias, new estimators are introduced and existing functionals are generalized to the multivariate case. The performance of these estimators is evaluated in comparison to common kernel density estimation schemes.To facilitate variance estimation by means of resampling methods like bootstrapping, an algorithm is introduced, which significantly reduces computation time in comparison with pre-implemented algorithms.In practical applications, complete continuous data is oftentimes not available to the analyst. Instead, categorial data derived from the unde...

7327 РУБ

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N. Sukumar A Matter of Density. Exploring the Electron Density Concept in Chemical, Biological, and Materials Sciences


The origins and significance of electron density in the chemical, biological, and materials sciences Electron density is one of the fundamental concepts underlying modern chemistry and one of the key determinants of molecular structure and stability. It is also the basic variable of density functional theory, which has made possible, in recent years, the application of the mathematical theory of quantum physics to chemical and biological systems. With an equal emphasis on computational and philosophical questions, A Matter of Density: Exploring the Electron Density Concept in the Chemical, Biological, and Materials Sciences addresses the foundations, analysis, and applications of this pivotal chemical concept. The first part of the book presents a coherent and logically connected treatment of the theoretical foundations of the electron density concept. Discussion includes the use of probabilities in statistical physics; the origins of quantum mechanics; the philosophical questions at the heart of quantum theory, like quantum entanglement; and methods for the experimental determination of electron density distributions. The remainder of the book deals with applications of the electron density concept in the chemical, biological, and materials sciences. Contributors offer insights on how a deep understanding of the origins of chemical reactivity can be gleaned from the concepts of density functional theory. Also discussed are the applications of electron density in molecular similarity analysis and electron density-derived molecular descriptors, such as electrostatic potentials and local ionization energies. This section concludes with some applications of modern density functional theory to surfaces and interfaces. An essential reference for students as well as quantum and computational chemists, physical chemists, and physicists, this book offers an unparalleled look at the development of the concept of electron density from its inception to its role in density functional theory, which led to the 1998 Nobel Prize in Chemistry.

10231.81 РУБ

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R. Cook Dennis An Introduction to Envelopes. Dimension Reduction for Efficient Estimation in Multivariate Statistics


Written by the leading expert in the field, this text reviews the major new developments in envelope models and methods An Introduction to Envelopes provides an overview of the theory and methods of envelopes, a class of procedures for increasing efficiency in multivariate analyses without altering traditional objectives. The author offers a balance between foundations and methodology by integrating illustrative examples that show how envelopes can be used in practice. He discusses how to use envelopes to target selected coefficients and explores predictor envelopes and their connection with partial least squares regression. The book reveals the potential for envelope methodology to improve estimation of a multivariate mean. The text also includes information on how envelopes can be used in generalized linear models, regressions with a matrix-valued response, and reviews work on sparse and Bayesian response envelopes. In addition, the text explores relationships between envelopes and other dimension reduction methods, including canonical correlations, reduced-rank regression, supervised singular value decomposition, sufficient dimension reduction, principal components, and principal fitted components. This important resource: • Offers a text written by the leading expert in this field • Describes groundbreaking work that puts the focus on this burgeoning area of study • Covers the important new developments in the field and highlights the most important directions • Discusses the underlying mathematics and linear algebra • Includes an online companion site with both R and Matlab support Written for researchers and graduate students in multivariate analysis and dimension reduction, as well as practitioners interested in statistical methodology, An Introduction to Envelopes offers the first book on the theory and methods of envelopes.

9424.2 РУБ

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Kevin Murphy D. Modeling and Estimation of Structural Damage


Modelling and Estimation of Damage in Structures is a comprehensiveguide to solving the type of modelling and estimation problems associated with the physics of structural damage. Provides a model-based approach to damage identification Presents an in-depth treatment of probability theory and random processes Covers both theory and algorithms for implementing maximum likelihood and Bayesian estimation approaches Includes experimental examples of all detection and identification approaches Provides a clear means by which acquired data can be used to make decisions regarding maintenance and usage of a structure

8979.05 РУБ

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Mohsen Pourahmadi High-Dimensional Covariance Estimation. With Data


Methods for estimating sparse and large covariance matrices Covariance and correlation matrices play fundamental roles in every aspect of the analysis of multivariate data collected from a variety of fields including business and economics, health care, engineering, and environmental and physical sciences. High-Dimensional Covariance Estimation provides accessible and comprehensive coverage of the classical and modern approaches for estimating covariance matrices as well as their applications to the rapidly developing areas lying at the intersection of statistics and machine learning. Recently, the classical sample covariance methodologies have been modified and improved upon to meet the needs of statisticians and researchers dealing with large correlated datasets. High-Dimensional Covariance Estimation focuses on the methodologies based on shrinkage, thresholding, and penalized likelihood with applications to Gaussian graphical models, prediction, and mean-variance portfolio management. The book relies heavily on regression-based ideas and interpretations to connect and unify many existing methods and algorithms for the task. High-Dimensional Covariance Estimation features chapters on: Data, Sparsity, and Regularization Regularizing the Eigenstructure Banding, Tapering, and Thresholding Covariance Matrices Sparse Gaussian Graphical Models Multivariate Regression The book is an ideal resource for researchers in statistics, mathematics, business and economics, computer sciences, and engineering, as well as a useful text or supplement for graduate-level courses in multivariate analysis, covariance estimation, statistical learning, and high-dimensional data analysis.

7166.52 РУБ

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David Eisenbud, Joe Harris The Geometry of Schemes


Grothendieck's beautiful theory of schemes permeates modern algebraic geometry and underlies its applications to number theory, physics, and applied mathematics. This simple account of that theory emphasizes and explains the universal geometric concepts behind the definitions. In the book, concepts are illustrated with fundamental examples, and explicit calculations show how the constructions of scheme theory are carried out in practice.

6439 РУБ

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David Meerman Scott Nie przeszkadzaj klientowi w zakupach

Angus Andrews P. Kalman Filtering. Theory and Practice with MATLAB


The definitive textbook and professional reference on Kalman Filtering – fully updated, revised, and expanded This book contains the latest developments in the implementation and application of Kalman filtering. Authors Grewal and Andrews draw upon their decades of experience to offer an in-depth examination of the subtleties, common pitfalls, and limitations of estimation theory as it applies to real-world situations. They present many illustrative examples including adaptations for nonlinear filtering, global navigation satellite systems, the error modeling of gyros and accelerometers, inertial navigation systems, and freeway traffic control. Kalman Filtering: Theory and Practice Using MATLAB, Fourth Edition is an ideal textbook in advanced undergraduate and beginning graduate courses in stochastic processes and Kalman filtering. It is also appropriate for self-instruction or review by practicing engineers and scientists who want to learn more about this important topic.

10007.9 РУБ

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Mohammad Arashi Theory of Ridge Regression Estimation with Applications


A guide to the systematic analytical results for ridge, LASSO, preliminary test, and Stein-type estimators with applications Theory of Ridge Regression Estimation with Applications offers a comprehensive guide to the theory and methods of estimation. Ridge regression and LASSO are at the center of all penalty estimators in a range of standard models that are used in many applied statistical analyses. Written by noted experts in the field, the book contains a thorough introduction to penalty and shrinkage estimation and explores the role that ridge, LASSO, and logistic regression play in the computer intensive area of neural network and big data analysis. Designed to be accessible, the book presents detailed coverage of the basic terminology related to various models such as the location and simple linear models, normal and rank theory-based ridge, LASSO, preliminary test and Stein-type estimators.The authors also include problem sets to enhance learning. This book is a volume in the Wiley Series in Probability and Statistics series that provides essential and invaluable reading for all statisticians. This important resource: Offers theoretical coverage and computer-intensive applications of the procedures presented Contains solutions and alternate methods for prediction accuracy and selecting model procedures Presents the first book to focus on ridge regression and unifies past research with current methodology Uses R throughout the text and includes a companion website containing convenient data sets Written for graduate students, practitioners, and researchers in various fields of science, Theory of Ridge Regression Estimation with Applications is an authoritative guide to the theory and methodology of statistical estimation.

11761.4 РУБ

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Charles Hutton A treatise on mensuration both in theory and practice


Полный вариант заголовка: «A treatise on mensuration : both in theory and practice / by Charles Hutton».

0 РУБ

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David Scott-Morgan Patterns in the Chaos


Biography of David Scott-Morgan, writer and musician from Birmingham England.

1239 РУБ

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Cynthia Lietz Applying Theory to Generalist Social Work Practice


The social workers guide to integrating theory and practice Applying Theory to Generalist Social Work Practice teaches aspiring social workers how to apply theory in real world practice. Fully aligned with the Council on Social Work Educations 2015 Educational Policy and Accreditation Standards, the book links theory to practice with clear, concise instruction including a discussion of evidence-based practice. Twelve commonly-used theories are thoroughly explained, with discussion of the strengths and limitations of each, and applied to real work with individuals, groups, families, communities, and organizations. The book includes case studies and first-person contributions from practicing social workers to illustrate the real-world scenarios in which different concepts apply. Critical thinking questions help students strengthen their understanding of the ideas presented. Tools including a test bank, PowerPoint slides, and an instructors manual are available to facilitate classroom use, providing a single-volume guide to the entire helping process, from engagement to termination. Practice is a core foundational course for future social workers, but many practice texts focus on skills while neglecting the theoretical basis for social work. Applying Theory to Generalist Social Work Practice fills that gap by covering both skills and theory in a single text. Examines the applications of prevailing social theories Covers the most common theories used in micro, mezzo, and macro practice Helps readers understand well-established approaches like strengths perspective, humanistic and client-centered, task-centered, and solution-focused brief therapy Shows how to apply major theories including ecological/system, cognitive/behavioral, conflict, empowerment, narrative, crisis, critical, and feminist An effective social worker recognizes the link between theory and practice, and how the two inform each other to culminate in the most effective intervention and most positive outcome for the client. Applying Theory to Generalist Social Work Practice provides students with a roadmap to the full integration of philosophy and application in social work.

5601.99 РУБ

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David Boswell Reid Illustrations of the theory and practice ventilation


Эта книга — репринт оригинального издания (издательство "London : Longman, Brown, Green, & Longmans", 1844 год), созданный на основе электронной копии высокого разрешения, которую очистили и обработали вручную, сохранив структуру и орфографию оригинального издания. Редкие, забытые и малоизвестные книги, изданные с петровских времен до наших дней, вновь доступны в виде печатных книг.Illustrations of the theory and practice of ventilation. With remarks on warming, exclusive lighting, and the communication of sound.

1043 РУБ

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David Kiss Designing Outside the Box. landscape seeing by doing


To all design students, landscapers, and garden designers of all stripes with any special curiosity in the 'why' behind landscape design and 'how' it relates to the world, Designing Outside the Box is your book. It offers a solid, clear, non-academic introduction and overview to the practice of making special places possible. Many books on creating the built landscape typically fall into one of two broad categories: 1. step-by-step guides to landscape design practice, or 2. deep-rooted intellectual exercises in landscape design theory. Designing Outside the Box bridges the divide between theory and practice. Jargon is minimal. The prose and examples are relatable. Analogies propel the message. Theory connects with reality in how people look at the landscape.

2602 РУБ

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Mustafayeva Albina Risk Neutral Density Estimations


This book describes existing approaches that estimate risk-neutral density functions (RND)implied by option prices and provides an empirical comparison of some of these methods on illustrative basis. The theoretical option-pricing background is well introduced in Chapter 2 and used as foundation for the ongoing discussion of the different estimation procedures in the following chapters. The literature review is comprehensive with respect to the inclusion and discussion of a large number of different estimation procedures. Moreover, this work offers an adequate contribution by applying and comparing existing RND estimation procedures for Euro Stoxx 50 index options.

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Brenton Clarke R. Robustness Theory and Application


A preeminent expert in the field explores new and exciting methodologies in the ever-growing field of robust statistics Used to develop data analytical methods, which are resistant to outlying observations in the data, while capable of detecting outliers, robust statistics is extremely useful for solving an array of common problems, such as estimating location, scale, and regression parameters. Written by an internationally recognized expert in the field of robust statistics, this book addresses a range of well-established techniques while exploring, in depth, new and exciting methodologies. Local robustness and global robustness are discussed, and problems of non-identifiability and adaptive estimation are considered. Rather than attempt an exhaustive investigation of robustness, the author provides readers with a timely review of many of the most important problems in statistical inference involving robust estimation, along with a brief look at confidence intervals for location. Throughout, the author meticulously links research in maximum likelihood estimation with the more general M-estimation methodology. Specific applications and R and some MATLAB subroutines with accompanying data sets—available both in the text and online—are employed wherever appropriate. Providing invaluable insights and guidance, Robustness Theory and Application: Offers a balanced presentation of theory and applications within each topic-specific discussion Features solved examples throughout which help clarify complex and/or difficult concepts Meticulously links research in maximum likelihood type estimation with the more general M-estimation methodology Delves into new methodologies which have been developed over the past decade without stinting on coverage of “tried-and-true” methodologies Includes R and some MATLAB subroutines with accompanying data sets, which help illustrate the power of the methods described Robustness Theory and Application is an important resource for all statisticians interested in the topic of robust statistics. This book encompasses both past and present research, making it a valuable supplemental text for graduate-level courses in robustness.

6219.97 РУБ

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David Scott® London Women Spring-Summer and Fall-Winter ...

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Scott, David | SAGE Publications Inc

David Scott is a Professor of Curriculum, Pedagogy and Assessment at the Institute of Education, University of London. His most recent books are The European ...

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View the profiles of professionals named David Scott on LinkedIn. There are 100 + professionals named David Scott, who use LinkedIn to exchange information, ...

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David Scott's 12 research works with 21 citations and 112 reads, including: Interdisciplinarity, Transdisciplinarity and the Higher Education Curriculum. David ...

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Dr David Scott, Senior Lecturer, Criminology, Faculty of Arts & Social ... R. (eds) ( 2019) ​The Routledge Handbook of Public Criminologies ​London: Routledge.

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London. 65 Fleet Street London EC4Y 1HS T +44 20 7936 4000. F file +44 20 ... David Scott is an expert in contentious regulatory disputes, having attained ...

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9 Jun 2009 ... For the first time since his resignation as London Probation chief, David Scott talks frankly about why the beleaguered service was unable to ...

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David Scott's 12 research works with 21 citations and 112 reads, including: Interdisciplinarity, Transdisciplinarity and the Higher Education Curriculum. David ...

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David Scott of University College London, London (UCL) with expertise in: Curriculum Theory, Educational Assessment and Educational Policy. Read 5 ...

James Schott R. Matrix Analysis for Statistics


An up-to-date version of the complete, self-contained introduction to matrix analysis theory and practice Providing accessible and in-depth coverage of the most common matrix methods now used in statistical applications, Matrix Analysis for Statistics, Third Edition features an easy-to-follow theorem/proof format. Featuring smooth transitions between topical coverage, the author carefully justifies the step-by-step process of the most common matrix methods now used in statistical applications, including eigenvalues and eigenvectors; the Moore-Penrose inverse; matrix differentiation; and the distribution of quadratic forms. An ideal introduction to matrix analysis theory and practice, Matrix Analysis for Statistics, Third Edition features: • New chapter or section coverage on inequalities, oblique projections, and antieigenvalues and antieigenvectors • Additional problems and chapter-end practice exercises at the end of each chapter • Extensive examples that are familiar and easy to understand • Self-contained chapters for flexibility in topic choice • Applications of matrix methods in least squares regression and the analyses of mean vectors and covariance matrices Matrix Analysis for Statistics, Third Edition is an ideal textbook for upper-undergraduate and graduate-level courses on matrix methods, multivariate analysis, and linear models. The book is also an excellent reference for research professionals in applied statistics. James R. Schott, PhD, is Professor in the Department of Statistics at the University of Central Florida. He has published numerous journal articles in the area of multivariate analysis. Dr. Schott’s research interests include multivariate analysis, analysis of covariance and correlation matrices, and dimensionality reduction techniques.

9335.46 РУБ

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Boniface Gail Using Occupational Therapy Theory in Practice


Competence in any profession depends upon an understanding of the theory that underlies it. This concise and practical text for students and practitioners bridges the gap between occupational therapy theory and clinical practice, offering highly practical advice on using theory in practice in a wide range of settings. It considers the nature of professional practice and the need for a sound theoretical basis from which to plan, implement and justify interventions, and investigates the practical use of occupational therapy theory and the issues such use raises in health and social care settings from a European perspective. Every occupational therapy student worldwide needs to know about the underlying theory of their profession and its application to practice. The book particularly debates the nature of the theory of occupational therapy via the introduction of the concept of models of the profession as an umbrella for practice, all of which is brought to life via case studies incorporating expert advice, reflection exercises and assessment and evaluation forms.

3316.69 РУБ

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World Tourism Organization (UNWTO) Innovation in - Bridging Theory and Practice // La innovacion en el turismo Acercamiento entre teoria y practica


This publicaiton contains papers in English and SpanishInnovation has become vital for successful and sustainable tourism development. Innovation in Tourism – Bridging Theory and Practice presents successful case studies from around the world of innovative practices in the areas of product development and governance. Each case study bridges research, theory and practice while strengthening destination competitiveness, while many also embrace advanced technology.

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William Wei W.S. Multivariate Time Series Analysis and Applications


An essential guide on high dimensional multivariate time series including all the latest topics from one of the leading experts in the field Following the highly successful and much lauded book, Time Series Analysis—Univariate and Multivariate Methods, this new work by William W.S. Wei focuses on high dimensional multivariate time series, and is illustrated with numerous high dimensional empirical time series. Beginning with the fundamentalconcepts and issues of multivariate time series analysis,this book covers many topics that are not found in general multivariate time series books. Some of these are repeated measurements, space-time series modelling, and dimension reduction. The book also looks at vector time series models, multivariate time series regression models, and principle component analysis of multivariate time series. Additionally, it provides readers with information on factor analysis of multivariate time series, multivariate GARCH models, and multivariate spectral analysis of time series. With the development of computers and the internet, we have increased potential for data exploration. In the next few years, dimension will become a more serious problem. Multivariate Time Series Analysis and its Applications provides some initial solutions, which may encourage the development of related software needed for the high dimensional multivariate time series analysis. Written by bestselling author and leading expert in the field Covers topics not yet explored in current multivariate books Features classroom tested material Written specifically for time series courses Multivariate Time Series Analysis and its Applications is designed for an advanced time series analysis course. It is a must-have for anyone studying time series analysis and is also relevant for students in economics, biostatistics, and engineering.

9047.23 РУБ

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David Murphy Counselling Psychology. A Textbook for Study and Practice


A complete introduction to the theory and practice of contemporary counselling psychology An excellent resource for students at undergraduate or graduate level, Counselling Psychology: A Textbook for Study and Practice provides valuable insights into the key issues associated with theory and practice in this field. The contributors represent a diverse array of approaches, reflecting the rich diversity within the area, and care is taken to avoid favouring any one approach. The book begins with an overview of the historical and philosophical foundations of counselling psychology, before taking a detailed look at major therapeutic approaches and exploring issues associated with specific client populations, ethics, research design, and more. In particular, the text seeks to explain how counselling psychology differs from and informs other areas of contemporary applied psychology. The result is an engaging balance of the personal and academically rigorous, presented in a highly accessible format. • An authoritative introduction to and key issues involved with the theory and practice of counselling psychology for students and practitioners at all levels • Considers all major approaches to psychotherapy including existential, person-centered experiential, psychodynamic, and cognitive-behavioural • Explores issues commonly encountered when working with specific client groups including children, people with intellectual disabilities, and emergency trauma victims

7842.5 РУБ

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Yasunori Fujikoshi Multivariate Statistics. High-Dimensional and Large-Sample Approximations


A comprehensive examination of high-dimensional analysis of multivariate methods and their real-world applications Multivariate Statistics: High-Dimensional and Large-Sample Approximations is the first book of its kind to explore how classical multivariate methods can be revised and used in place of conventional statistical tools. Written by prominent researchers in the field, the book focuses on high-dimensional and large-scale approximations and details the many basic multivariate methods used to achieve high levels of accuracy. The authors begin with a fundamental presentation of the basic tools and exact distributional results of multivariate statistics, and, in addition, the derivations of most distributional results are provided. Statistical methods for high-dimensional data, such as curve data, spectra, images, and DNA microarrays, are discussed. Bootstrap approximations from a methodological point of view, theoretical accuracies in MANOVA tests, and model selection criteria are also presented. Subsequent chapters feature additional topical coverage including: High-dimensional approximations of various statistics High-dimensional statistical methods Approximations with computable error bound Selection of variables based on model selection approach Statistics with error bounds and their appearance in discriminant analysis, growth curve models, generalized linear models, profile analysis, and multiple comparison Each chapter provides real-world applications and thorough analyses of the real data. In addition, approximation formulas found throughout the book are a useful tool for both practical and theoretical statisticians, and basic results on exact distributions in multivariate analysis are included in a comprehensive, yet accessible, format. Multivariate Statistics is an excellent book for courses on probability theory in statistics at the graduate level. It is also an essential reference for both practical and theoretical statisticians who are interested in multivariate analysis and who would benefit from learning the applications of analytical probabilistic methods in statistics.

11127.45 РУБ

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Christian Hassold The Valuation of Multivariate Options


Inhaltsangabe:Abstract: During the last decades, capital markets have transformed rapidly. Derivative securities – or more simply derivatives – like swaps, futures, and options supplemented the trading of stocks and bonds. These financial products can frequently be seen in the media: Due to derivatives, Procter & Gamble lost $150 million in 1994, Barings Bank lost $1.3 billion in 1995 and Long-Term Capital Management (LTCM) lost $3.5 billion in 1998. Though these figures seem daunting, derivatives can be useful financial instruments. Applications include risk management, speculation, reduced transaction costs, and regulatory arbitrage. Theory and practice of option valuation were revolutionized in 1973, when Fischer Black and Myron Scholes published their celebrated Black Scholes formula in the landmark paper „The pricing of options and corporate liabilities“. Afterwards, a vast amount of papers on option valuation was published which employ all kinds of stochastic processes. Thereby, the special features of financial return data are tried to be taken into account. Advancing option valuation theory to options with multiple underlyings, lead to the problem that the dependence structure of the underlying securities needs to be considered. Though linear correlation is a widely used dependence measure, it may be inappropriate for multivariate return data. Throughout the last years, dependence modelling through copulas has become common. Copulas are multivariate distributions ...

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Doug Rosenberg, Matt Stephens, Don Rosenberg Use Case Driven Object Modeling with UML. Theory and Practice


Книга "Use Case Driven Object Modeling with UML. Theory and Practice".

5625 РУБ

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Curing the Dread of Death. Theory, Research and Practice


This unique book explores the dread of death and its management from a wide range of perspectives with researchers and writers from a variety of cultures, academic traditions and disciplines across the globe. The fields covered are broad - including palliative care and grief, psychodynamic theory, social, developmental and clinical psychology, sociology and anthropology, counselling practice as well as history, art, and philosophy.

3627 РУБ

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Harry Trees L.Van Detection Estimation and Modulation Theory, Part I. Detection, Estimation, Filtering Theory


Originally published in 1968, Harry Van Trees’s Detection, Estimation, and Modulation Theory, Part I is one of the great time-tested classics in the field of signal processing. Highly readable and practically organized, it is as imperative today for professionals, researchers, and students in optimum signal processing as it was over thirty years ago. The second edition is a thorough revision and expansion almost doubling the size of the first edition and accounting for the new developments thus making it again the most comprehensive and up-to-date treatment of the subject. With a wide range of applications such as radar, sonar, communications, seismology, biomedical engineering, and radar astronomy, among others, the important field of detection and estimation has rarely been given such expert treatment as it is here. Each chapter includes section summaries, realistic examples, and a large number of challenging problems that provide excellent study material. This volume which is Part I of a set of four volumes is the most important and widely used textbook and professional reference in the field.

8514.23 РУБ

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Rita Sommers-Flanagan Counseling and Psychotherapy Theories in Context Practice. Skills, Strategies, Techniques


Apply the major psychotherapy theories into practice with this comprehensive text Counseling and Psychotherapy Theories in Context and Practice: Skills, Strategies, and Techniques, 2nd Edition is an in-depth guide that provides useful learning aids, instructions for ongoing assessment, and valuable case studies. More than just a reference, this approachable resource highlights practical applications of theoretical concepts, covering both theory and technique with one text. Easy to read and with engaging information that has been recently revised to align with the latest in industry best practices, this book is the perfect resource for graduate level counseling theory courses in counselor education, marriage and family therapy, counseling psychology, and clinical psychology. Included with each copy of the text is an access code to the online Video Resource Center (VRC). The VRC features eleven videos—each one covering a different therapeutic approach using real therapists and clients, not actors. These videos provide a perfect complement to the book by showing what the different theories look like in practice. The Second Edition features: New chapters on Family Systems Theory and Therapy as well as Gestalt Theory and Therapy Extended case examples in each of the twelve Theory chapters A treatment planning section that illustrates how specific theories can be used in problem formulation, specific interventions, and potential outcomes assessment Deeper and more continuous examination of gender and cultural issues An evidence-based status section in each Theory chapter focusing on what we know from the scientific research, with the goal of developing critical thinking skills A new section on Outcome Measures that provides ideas on how client outcomes can be tracked using practice-based evidence Showcasing the latest research, theory, and evidence-based practice in an engaging and relatable style, Counseling and Psychotherapy Theories in Context and Practice is an illuminating text with outstanding practical value.

8215.21 РУБ

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Bearman Margaret Simulated Patient Methodology. Theory, Evidence and Practice


Simulated Patient Methodology is a timely book, aimed at health professional educators and Simulated Patient (SP) practitioners. It connects theory and evidence with practice to ensure maximum benefit for those involved in SP programmes, in order to inform practice and promote innovation. The book provides a unique, contemporary, global overview of SP practice, for all health sciences educators. Simulated Patient Methodology: • Provides a cross-disciplinary overview of the field • Considers practical issues such as recruiting and training simulated patients, and the financial planning of SP programmes • Features case studies, illustrating theory in practice, drawn from across health professions and countries, to ensure relevance to localised contexts Written by world leaders in the field, this invaluable resource summarises the theoretical and practical basis of all human-based simulation methodologies.

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Donna J. Scott Managing Your Grief. Personal Reflection Workbook and Journal


Our world of computers and google allows any would be advisor or novice for that matter to cut and paste a theory on any topic of one’s choice. Not so with this “Personal Reflection Workbook and Journal” with its practical guidelines for understanding and handling grief. Dr. Donna Scott (MD and Psychiatrist) is quite familiar with grief theory. However, here she takes us beyond the podium of mere information and, drawing from her practice of psychiatry, places within our reach what works in the real world. After all, that’s what we want in our solemn times of need. -- Mervyn A. Warren, PhD, DMin(Retired) Oakwood University: Interim President; Provost; VP Academic Affairs/Student Services; Dean of Religion

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