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Probability & Statistics - Multivariate Analysis

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Advanced Statistics in Research: Reading, Understanding, and Writing Up Data Analysis Results
by Hatcher, Larry       
(Paperback - English - 9780985867003)
Advanced Statistics in Research: Reading, Understanding, and Writing Up Data Analysis Results is the simple, nontechnical introduction to the most complex multivariate statistics presented in empirical research articles. wwwStatsInResearch.com, is a companion website that provides free sample chapters, exercises, and PowerPoint slides for students and teachers. A free 600-item test bank is available to instructors. Advanced Statistics in Research does not show how to perform statistical procedures--it strong shows how to read strong , strong understand strong , and strong interpret strong them, as they are typically presented in journal articles and ..
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An Introduction to Causal Inference
by Pearl, Judea       
(Paperback - English - 9781507894293)
This book summarizes recent advances in causal inference and underscores the paradigmatic shifts that must be undertaken in moving from traditional statistical analysis to causal analysis of multivariate data. Special emphasis is placed on the assumptions that underlie all causal inferences, the languages used in formulating those assumptions, the conditional nature of all causal and counterfactual claims, and the methods that have been developed for the assessment of such claims. These advances are illustrated using a general theory of causation based on the Structural Causal Model (SCM), which subsumes and unifies other approaches to causation, and provides a ..
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Dependence Modeling with Copulas
by Joe, Harry       
(Paperback - English - 9781032477374)
strong Dependence Modeling with Copulas strong covers the substantial advances that have taken place in the field during the last 15 years, including vine copula modeling of high-dimensional data. Vine copula models are constructed from a sequence of bivariate copulas. The book develops generalizations of vine copula models, including common and structured factor models that extend from the Gaussian assumption to copulas. It also discusses other multivariate constructions and parametric copula families that have different tail properties and presents extensive material on dependence and tail properties to assist in copula model selection. The author shows ho ..
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Applied Multivariate Statistical Analysis
by Hardle, Wolfgang Karl    Simar, Leopold   
(Paperback - English - 9783662451700)
Focusing on high-dimensional applications, this 4th edition presents the tools and concepts used in multivariate data analysis in a style that is also accessible for non-mathematicians and practitioners. All chapters include practical exercises that highlight applications in different multivariate data analysis fields. All of the examples involve high to ultra-high dimensions and represent a number of major fields in big data analysis. The fourth edition of this book on Applied Multivariate Statistical Analysis offers the following new features: ul li A new chapter on Variable Selection (Lasso, SCAD and Elastic Net) br li li All exercises are supplemented ..
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Applied Multivariate Analysis
by Press, S. James       
(Paperback - English - 9780486442365)
Geared toward upper-level undergraduates and graduate students, this two-part treatment deals with the foundations of multivariate analysis as well as related models and applications. Starting with a look at practical elements of matrix theory, the text proceeds to discussions of continuous multivariate distributions, the normal distribution, and Bayesian inference; multivariate large sample distributions and approximations; the Wishart and other continuous multivariate distributions; and basic multivariate statistics in the normal distribution. The second half of the text moves from defining the basics to explaining models. Topics include regression and the ana ..
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Statistical Analysis of Spatial and Spatio-Temporal Point Patterns
by Diggle, Peter J.       
(Paperback - English - 9781032477473)
Written by a prominent statistician and author, the first edition of this bestseller broke new ground in the then emerging subject of spatial statistics with its coverage of spatial point patterns. Retaining all the material from the second edition and adding substantial new material, strong Statistical Analysis of Spatial and Spatio-Temporal Point Patterns, Third Edition strong presents models and statistical methods for analyzing spatially referenced point process data. Reflected in the title, this third edition now covers spatio-temporal point patterns. It explores the methodological developments from the last decade along with diverse applications that u ..
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Ranking of Multivariate Populations: A Permutation Approach with Applications
by Corain, Livio    Arboretti, Rosa    Bonnini, Stefano
(Paperback - English - 9781032340050)
strong Ranking of Multivariate Populations: A Permutation Approach with Applications strong presents a novel permutation-based nonparametric approach for ranking several multivariate populations. Using data collected from both experimental and observation studies, it covers some of the most useful designs widely applied in research and industry investigations, such as multivariate analysis of variance (MANOVA) and multivariate randomized complete block (MRCB) designs. The first section of the book introduces the topic of ranking multivariate populations by presenting the main theoretical ideas and an in-depth literature review. The second section discusses ..
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Analysis of Incomplete Multivariate Data
by Schafer, J. L.       
(Paperback - English - 9781032477992)
The last two decades have seen enormous developments in statistical methods for incomplete data. Thealgorithm and its extensions, multiple imputation, and Markov Chain Monte Carlo provide a set of flexible and reliable tools from inference in large classes of missing-data problems. Yet, in practical terms, those developments have had surprisingly little impact on the way most data analysts handle missing values on a routine basis. Analysis of Incomplete Multivariate Data helps bridge the gap between theory and practice, making these missing-data tools accessible to a broad audience. It presents a unified, Bayesian approach to the analysis of incomplete multiva ..
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Übungen zur statistischen Inferenz
by Malacrida, Simone       
(Paperback - German - 9798215643075)
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Using Multivariate Statistics
by Tabachnick, Barbara    Fidell, Linda   
(Loose Leaf - English - 9780134790541)
For advanced undergraduate and graduate courses in Social Statistics. br An in-depth introduction to today's most commonly used statistical and multivariate techniques Using Multivariate Statistics, 7th Edition presents complex statistical procedures in a way that is maximally useful and accessible to researchers who may not be statisticians. The authors focus on the benefits and limitations of applying a technique to a data set - when, why, and how to do it. Only a limited knowledge of higher-level mathematics is assumed. br Students using this text will learn to conduct numerous types of multivariate statistical analyses; find the best techni ..
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Applied Spatial Statistics and Econometrics: Data Analysis in R
by Kopczewska, Katarzyna       
(Paperback - English - 9780367470760)
This textbook is a comprehensive introduction to applied spatial data analysis using R. Each chapter walks the reader through a different method, explaining how to interpret the results and what conclusions can be drawn. The author team showcases key topics, including unsupervised learning, causal inference, spatial weight matrices, spatial econometrics, heterogeneity and bootstrapping. It is accompanied by a suite of data and R code on Github to help readers practise techniques via replication and exercises. This text will be a valuable resource for advanced students of econometrics, spatial planning and regional science. It will also be suitable for researche ..
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Latent Class Analysis
by Collins, Linda M.    Lanza, Stephanie T.   
(Hardcover - English - 9780470228395)
A modern, comprehensive treatment of latent class and latent transition analysis for categorical data On a daily basis, researchers in the social, behavioral, and health sciences collect information and fit statistical models to the gathered empirical data with the goal of making significant advances in these fields. In many cases, it can be useful to identify latent, or unobserved, subgroups in a population, where individuals' subgroup membership is inferred from their responses on a set of observed variables. Latent Class and Latent Transition Analysis provides a comprehensive and unified introduction to this topic through one-of-a-kind, step-by-step present ..
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Categorical Data Analysis
by Agresti, Alan       
(Hardcover - English - 9780470463635)
A classic in its own right, this book continues to provide an introduction to modern generalized linear models for categorical variables. The text emphasizes methods that are most commonly used in practical application, such as classical inferences for two- and three-way contingency tables, logistic regression, loglinear models, models for multinomial (nominal and ordinal) responses, and methods for repeated measurement and other forms of clustered, correlated response data. Chapter headings remain essentially with the exception of a new one on Bayesian inference for parametric models. Other major changes include an expansion of clustered data, new research on a ..
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Latent Class Analysis
by McCutcheon, Allan L.       
(Paperback - English - 9780803927520)
Latent class analysis is a powerful tool for analyzing the structure of relationships among categorically scored variables. It enables researchers to explore the suitability of combining two or more categorical variables into typologies or scales. It also provides a method for testing hypotheses regarding the latent structure among categorical variables. ..
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Applied Longitudinal Analysis
by Fitzmaurice, Garrett M.    Laird, Nan M.    Ware, James H.
(Hardcover - English - 9780470380277)
Since the publication of the first edition, the authors have solicited feedback from both the instructors who use the book as a text for their courses as well as the researchers who use the book as a resource for their research. With its strong emphasis on multidisciplinary applications and the interpretation of results, Applied Longitudinal Analysis, Second Edition is an excellent book for courses on statistics in the health and medical sciences at the upper-undergraduate and graduate levels. The book also serves as a valuable reference for researchers and professionals in the medical, public health, and pharmaceutical fields as well as those in social and beha ..
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Modern Multivariate Statistical Techniques: Regression, Classification, and Manifold Learning
by Izenman, Alan J.       
(Paperback - English - 9781493938322)
Remarkable advances in computation and data storage and the ready availability of huge data sets have been the keys to the growth of the new disciplines of data mining and machine learning, while the enormous success of the Human Genome Project has opened up the field of bioinformatics. These exciting developments, which led to the introduction of many innovative statistical tools for high-dimensional data analysis, are described here in detail. The author takes a broad perspective; for the first time in a book on multivariate analysis, nonlinear methods are discussed in detail as well as linear methods. Techniques covered range from traditional multivariate m ..
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Analysis of Multivariate and High-Dimensional Data
by Koch, Inge       
(Hardcover - English - 9780521887939)
"Big data" poses challenges that require both classical multivariate methods and contemporary techniques from machine learning and engineering. This modern text equips you for the new world - integrating the old and the new, fusing theory and practice and bridging the gap to statistical learning. The theoretical framework includes formal statements that set out clearly the guaranteed "safe operating zone" for the methods and allow you to assess whether data is in the zone, or near enough. Extensive examples showcase the strengths and limitations of different methods with small classical data, data from medicine, biology, marketing and finance, high-dimensional d ..
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Applied Univariate, Bivariate, and Multivariate Statistics
by Denis, Daniel J.       
(Hardcover - English - 9781118632338)
A clear and efficient balance between theory and application of statistical modeling techniques in the social and behavioral sciences Written as a general and accessible introduction, Applied Univariate, Bivariate, and Multivariate Statistics provides an overview of statistical modeling techniques used in fields in the social and behavioral sciences. Blending statistical theory and methodology, the book surveys both the technical and theoretical aspects of good data analysis. Featuring applied resources at various levels, the book includes statistical techniques such as t -tests and correlation as well as more advanced procedures such as MANOVA, factor analy ..
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Multivariate Statistics: Old School: Mathematical and methodological introduction to multivariate statistical analytics, including linear model
by Marden, John I.       
(Paperback - English - 9781456538835)
Multivariate Statistics: Old School is a mathematical and methodological introduction to multivariate statistical analysis. It presents the basic mathematical grounding that graduate statistics students need for future research, and important multivariate techniques useful to statisticians in general. The material provides support for further study in big data and machine learning. Topics include ul li The multivariate normal and Wishart distributions li Linear models, including multivariate regression and analysis of variance, and both-sides models (GMANOVA, repeated measures, growth curves) li Linear algebra useful for multivariate statistics li Co ..
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Data Analysis with Mplus
by Geiser, Christian       
(Paperback - English - 9781462502455)
A practical introduction to using Mplus for the analysis of multivariate data, this volume provides step-by-step guidance, complete with real data examples, numerous screen shots, and output excerpts. The author shows how to prepare a data set for import in Mplus using SPSS. He explains how to specify different types of models in Mplus syntax and address typical caveats--for example, assessing measurement invariance in longitudinal SEMs. Coverage includes path and factor analytic models as well as mediational, longitudinal, multilevel, and latent class models. Specific programming tips and solution strategies are presented in boxes in each chapter. The companion ..
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