Graphical Models In Applied Multivariate Statistics

Author : J. Whittaker
Publisher : John Wiley & Sons
Page : 478 pages
File Size : 40,6 Mb
Release : 1990
Category : Mathematics
ISBN : UOM:39015017912547

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Graphical Models in Applied Multivariate Statistics by J. Whittaker Pdf

Graphical models--a subset of log-linear models--reveal the interrelationships between multiple variables and features of the underlying conditional independence. Following the theorem-proof-remarks format, this introduction to the use of graphical models in the description and modeling of multivariate systems covers conditional independence, several types of independence graphs, Gaussian models, issues in model selection, regression and decomposition. Many numerical examples and exercises with solutions are included.

Author : Anonim
Publisher : Unknown
Page : 448 pages
File Size : 50,7 Mb
Release : 1996
Category : Electronic
ISBN : OCLC:912075113

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Graphical Models in Applied Multivariate Statistics by Anonim Pdf

Author : Daniel Zelterman
Publisher : Springer Nature
Page : 469 pages
File Size : 43,7 Mb
Release : 2023-01-20
Category : Medical
ISBN : 9783031130052

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Applied Multivariate Statistics with R by Daniel Zelterman Pdf

Now in its second edition, this book brings multivariate statistics to graduate-level practitioners, making these analytical methods accessible without lengthy mathematical derivations. Using the open source shareware program R, Dr. Zelterman demonstrates the process and outcomes for a wide array of multivariate statistical applications. Chapters cover graphical displays; linear algebra; univariate, bivariate and multivariate normal distributions; factor methods; linear regression; discrimination and classification; clustering; time series models; and additional methods. He uses practical examples from diverse disciplines, to welcome readers from a variety of academic specialties. Each chapter includes exercises, real data sets, and R implementations. The book avoids theoretical derivations beyond those needed to fully appreciate the methods. Prior experience with R is not necessary. New to this edition are chapters devoted to longitudinal studies and the clustering of large data. It is an excellent resource for students of multivariate statistics, as well as practitioners in the health and life sciences who are looking to integrate statistics into their work.

Author : Brian Everitt,Torsten Hothorn
Publisher : Springer Science & Business Media
Page : 284 pages
File Size : 52,9 Mb
Release : 2011-04-23
Category : Mathematics
ISBN : 9781441996503

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An Introduction to Applied Multivariate Analysis with R by Brian Everitt,Torsten Hothorn Pdf

The majority of data sets collected by researchers in all disciplines are multivariate, meaning that several measurements, observations, or recordings are taken on each of the units in the data set. These units might be human subjects, archaeological artifacts, countries, or a vast variety of other things. In a few cases, it may be sensible to isolate each variable and study it separately, but in most instances all the variables need to be examined simultaneously in order to fully grasp the structure and key features of the data. For this purpose, one or another method of multivariate analysis might be helpful, and it is with such methods that this book is largely concerned. Multivariate analysis includes methods both for describing and exploring such data and for making formal inferences about them. The aim of all the techniques is, in general sense, to display or extract the signal in the data in the presence of noise and to find out what the data show us in the midst of their apparent chaos. An Introduction to Applied Multivariate Analysis with R explores the correct application of these methods so as to extract as much information as possible from the data at hand, particularly as some type of graphical representation, via the R software. Throughout the book, the authors give many examples of R code used to apply the multivariate techniques to multivariate data.

Author : Wolfgang Karl Härdle,Léopold Simar
Publisher : Springer Science & Business Media
Page : 480 pages
File Size : 45,6 Mb
Release : 2013-03-09
Category : Mathematics
ISBN : 9783662058022

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Applied Multivariate Statistical Analysis by Wolfgang Karl Härdle,Léopold Simar Pdf

A state of the art presentation of the tools and concepts of multivariate data analysis with a strong focus on applications. The first part is devoted to graphical techniques describing the distributions of the involved variables. The second part deals with multivariate random variables and presents distributions, estimators and tests for various practical situations. The last part covers mulivariate techniques and introduces the reader into the wide variety of tools for multivariate data analysis. The text presents a wide range of examples and 228 exercises.

Author : Howard E.A. Tinsley,Steven D. Brown
Publisher : Academic Press
Page : 721 pages
File Size : 47,9 Mb
Release : 2000-05-22
Category : Mathematics
ISBN : 0080533566

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Handbook of Applied Multivariate Statistics and Mathematical Modeling by Howard E.A. Tinsley,Steven D. Brown Pdf

Multivariate statistics and mathematical models provide flexible and powerful tools essential in most disciplines. Nevertheless, many practicing researchers lack an adequate knowledge of these techniques, or did once know the techniques, but have not been able to keep abreast of new developments. The Handbook of Applied Multivariate Statistics and Mathematical Modeling explains the appropriate uses of multivariate procedures and mathematical modeling techniques, and prescribe practices that enable applied researchers to use these procedures effectively without needing to concern themselves with the mathematical basis. The Handbook emphasizes using models and statistics as tools. The objective of the book is to inform readers about which tool to use to accomplish which task. Each chapter begins with a discussion of what kinds of questions a particular technique can and cannot answer. As multivariate statistics and modeling techniques are useful across disciplines, these examples include issues of concern in biological and social sciences as well as the humanities.

Author : S. James Press
Publisher : Unknown
Page : 554 pages
File Size : 51,5 Mb
Release : 1972
Category : Mathematics
ISBN : UCAL:B4407261

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Applied Multivariate Analysis by S. James Press Pdf

Textbook on methodology and model-building techniques of multivariate statistical analysis, with particular reference to applications in the social sciences - includes a bibliography pp. 483 to 509, graphs and statistical tables.

Author : Martin J. Wainwright,Michael Irwin Jordan
Publisher : Now Publishers Inc
Page : 324 pages
File Size : 45,6 Mb
Release : 2008
Category : Computers
ISBN : 9781601981844

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Graphical Models, Exponential Families, and Variational Inference by Martin J. Wainwright,Michael Irwin Jordan Pdf

The core of this paper is a general set of variational principles for the problems of computing marginal probabilities and modes, applicable to multivariate statistical models in the exponential family.

Author : Neil H. Timm
Publisher : Springer Science & Business Media
Page : 709 pages
File Size : 44,8 Mb
Release : 2007-06-21
Category : Mathematics
ISBN : 9780387227719

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Applied Multivariate Analysis by Neil H. Timm Pdf

This book provides a broad overview of the basic theory and methods of applied multivariate analysis. The presentation integrates both theory and practice including both the analysis of formal linear multivariate models and exploratory data analysis techniques. Each chapter contains the development of basic theoretical results with numerous applications illustrated using examples from the social and behavioral sciences, and other disciplines. All examples are analyzed using SAS for Windows Version 8.0.

Author : Marloes Maathuis,Mathias Drton,Steffen Lauritzen,Martin Wainwright
Publisher : CRC Press
Page : 666 pages
File Size : 55,6 Mb
Release : 2018-11-12
Category : Mathematics
ISBN : 9780429874239

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Handbook of Graphical Models by Marloes Maathuis,Mathias Drton,Steffen Lauritzen,Martin Wainwright Pdf

A graphical model is a statistical model that is represented by a graph. The factorization properties underlying graphical models facilitate tractable computation with multivariate distributions, making the models a valuable tool with a plethora of applications. Furthermore, directed graphical models allow intuitive causal interpretations and have become a cornerstone for causal inference. While there exist a number of excellent books on graphical models, the field has grown so much that individual authors can hardly cover its entire scope. Moreover, the field is interdisciplinary by nature. Through chapters by leading researchers from different areas, this handbook provides a broad and accessible overview of the state of the art. Key features: * Contributions by leading researchers from a range of disciplines * Structured in five parts, covering foundations, computational aspects, statistical inference, causal inference, and applications * Balanced coverage of concepts, theory, methods, examples, and applications * Chapters can be read mostly independently, while cross-references highlight connections The handbook is targeted at a wide audience, including graduate students, applied researchers, and experts in graphical models.

Author : Brian S. Everitt,Graham Dunn
Publisher : Wiley
Page : 342 pages
File Size : 44,5 Mb
Release : 2009-04-20
Category : Mathematics
ISBN : 0340741228

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Applied Multivariate Data Analysis by Brian S. Everitt,Graham Dunn Pdf

Multivariate analysis plays an important role in the understanding of complex data sets requiring simultaneous examination of all variables. Breaking through the apparent disorder of the information, it provides the means for both describing and exploring data, aiming to extract the underlying patterns and structure. This intermediate-level textbook introduces the reader to the variety of methods by which multivariate statistical analysis may be undertaken. Now in its 2nd edition, 'Applied Multivariate Data Analysis' has been fully expanded and updated, including major chapter revisions as well as new sections on neural networks and random effects models for longitudinal data. Maintaining the easy-going style of the first edition, the authors provide clear explanations of each technique, as well as supporting figures and examples, and minimal technical jargon. With extensive exercises following every chapter, 'Applied Multivariate Data Analysis' is a valuable resource for students on applied statistics courses and applied researchers in many disciplines.

Author : Tenko Raykov,George A. Marcoulides
Publisher : Routledge
Page : 487 pages
File Size : 48,6 Mb
Release : 2008-03-10
Category : Business & Economics
ISBN : 9781136676000

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An Introduction to Applied Multivariate Analysis by Tenko Raykov,George A. Marcoulides Pdf

This comprehensive text introduces readers to the most commonly used multivariate techniques at an introductory, non-technical level. By focusing on the fundamentals, readers are better prepared for more advanced applied pursuits, particularly on topics that are most critical to the behavioral, social, and educational sciences. Analogies betwe

Author : Ravindra Khattree,Dayanand N. Naik
Publisher : Wiley-SAS
Page : 360 pages
File Size : 47,8 Mb
Release : 1999-04-09
Category : Mathematics
ISBN : 0471322997

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Applied Multivariate Statistics with SAS Software by Ravindra Khattree,Dayanand N. Naik Pdf

Real-world problems and data sets are the backbone of this groundbreaking book. Applied Multivariate Statistics with SAS® Software, Second Edition provides a unique approach to this topic, integrating statistical methods, data analysis, and applications. Now extensively revised, the book includes new information on * mixed effects models * applications of the MIXED procedure * regression diagnostics with the correspoding IML procedure code * covariance structures. The authors' approach to the information aids professors, researchers, and students in a variety of disciplines and industries. Extensive SAS code and the corresponding output accompany sample problems, and clear explanations of the various SAS procedures are included. Emphasis is on correct interpretation of the output to draw meaningful conclusions. Featuring both the theoretical and the practical, topics covered include multivariate analysis of experimental data and repeated measures data, graphical representation of data including biplots, and multivariate regression. In addition, a quick introduction to the IML procedure with special reference to multivariate data is available in an appendix. SAS programs and output integrated with the text make it easy to read and follow the examples. High-resolution graphs have been used in this new edition.

Author : Daniel Zelterman
Publisher : Springer
Page : 393 pages
File Size : 45,9 Mb
Release : 2015-08-03
Category : Medical
ISBN : 9783319140933

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Applied Multivariate Statistics with R by Daniel Zelterman Pdf

This book brings the power of multivariate statistics to graduate-level practitioners, making these analytical methods accessible without lengthy mathematical derivations. Using the open source, shareware program R, Professor Zelterman demonstrates the process and outcomes for a wide array of multivariate statistical applications. Chapters cover graphical displays, linear algebra, univariate, bivariate and multivariate normal distributions, factor methods, linear regression, discrimination and classification, clustering, time series models, and additional methods. Zelterman uses practical examples from diverse disciplines to welcome readers from a variety of academic specialties. Those with backgrounds in statistics will learn new methods while they review more familiar topics. Chapters include exercises, real data sets, and R implementations. The data are interesting, real-world topics, particularly from health and biology-related contexts. As an example of the approach, the text examines a sample from the Behavior Risk Factor Surveillance System, discussing both the shortcomings of the data as well as useful analyses. The text avoids theoretical derivations beyond those needed to fully appreciate the methods. Prior experience with R is not necessary.

Author : Wolfgang Härdle,Zdeněk Hlávka
Publisher : Springer Science & Business Media
Page : 367 pages
File Size : 47,8 Mb
Release : 2007-07-27
Category : Computers
ISBN : 9780387707846

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Multivariate Statistics: by Wolfgang Härdle,Zdeněk Hlávka Pdf

The authors have cleverly used exercises and their solutions to explore the concepts of multivariate data analysis. Broken down into three sections, this book has been structured to allow students in economics and finance to work their way through a well formulated exploration of this core topic. The first part of this book is devoted to graphical techniques. The second deals with multivariate random variables and presents the derivation of estimators and tests for various practical situations. The final section contains a wide variety of exercises in applied multivariate data analysis.