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Multivariate analysis

  • Richly Parameterized Linear Modelsby James S. Hodges

    CRC Press 2016; US$ 99.95

    A First Step toward a Unified Theory of Richly Parameterized Linear Models Using mixed linear models to analyze data often leads to results that are mysterious, inconvenient, or wrong. Further compounding the problem, statisticians lack a cohesive resource to acquire a systematic, theory-based understanding of models with random effects. Richly... more...

  • Applied Nonparametric Statistical Methods, Fourth Editionby Peter Sprent; Nigel C. Smeeton

    CRC Press 2016; US$ 104.95

    While preserving the clear, accessible style of previous editions, Applied Nonparametric Statistical Methods, Fourth Edition reflects the latest developments in computer-intensive methods that deal with intractable analytical problems and unwieldy data sets. Reorganized and with additional material, this edition begins with a brief summary of some... more...

  • Constrained Principal Component Analysis and Related Techniquesby Yoshio Takane

    CRC Press 2016; US$ 94.95

    In multivariate data analysis, regression techniques predict one set of variables from another while principal component analysis (PCA) finds a subspace of minimal dimensionality that captures the largest variability in the data. How can regression analysis and PCA be combined in a beneficial way? Why and when is it a good idea to combine... more...

  • Multiple Comparisons Using Rby Frank Bretz; Torsten Hothorn; Peter Westfall

    CRC Press 2016; US$ 94.95

    Adopting a unifying theme based on maximum statistics, Multiple Comparisons Using R describes the common underlying theory of multiple comparison procedures through numerous examples. It also presents a detailed description of available software implementations in R. The R packages and source code for the analyses are available at http://CRAN.R-project.org... more...

  • Multiple Factor Analysis by Example Using Rby Jérôme Pagès

    CRC Press 2016; US$ 89.95

    Multiple factor analysis (MFA) enables users to analyze tables of individuals and variables in which the variables are structured into quantitative, qualitative, or mixed groups. Written by the co-developer of this methodology, Multiple Factor Analysis by Example Using R brings together the theoretical and methodological aspects of MFA. It also... more...

  • Data Clusteringby Charu C. Aggarwal; Chandan K. Reddy

    CRC Press 2016; US$ 104.95

    Research on the problem of clustering tends to be fragmented across the pattern recognition, database, data mining, and machine learning communities. Addressing this problem in a unified way, Data Clustering: Algorithms and Applications provides complete coverage of the entire area of clustering, from basic methods to more refined and complex data... more...

  • Latent Variable Modeling with Rby W. Holmes Finch; Brian F. French

    Taylor and Francis 2015; US$ 49.95

    This book demonstrates how to conduct latent variable modeling (LVM) in R by highlighting the features of each model, their specialized uses, examples, sample code and output, and an interpretation of the results. Each chapter features a detailed example including the analysis of the data using R, the relevant theory, the assumptions underlying the... more...

  • R For Dummiesby Andrie de Vries; Joris Meys

    Wiley 2015; US$ 29.99 US$ 23.99

    Mastering R has never been easier Picking up R can be tough, even for seasoned statisticians and data analysts. R For Dummies , 2 nd Edition provides a quick and painless way to master all the R you'll ever need. Requiring no prior programming experience and packed with tons of practical examples, step-by-step exercises, and sample code, this... more...

  • R and MATLABby David E. Hiebeler

    CRC Press 2015; US$ 72.95

    The First Book to Explain How a User of R or MATLAB Can Benefit from the Other In today?s increasingly interdisciplinary world, R and MATLAB ® users from different backgrounds must often work together and share code. R and MATLAB ® is designed for users who already know R or MATLAB and now need to learn the other platform. The book makes... more...

  • Theoretical Foundations of Functional Data Analysis, with an Introduction to Linear Operatorsby Tailen Hsing; Randall Eubank

    Wiley 2015; US$ 99.95

    Theoretical Foundations of Functional Data Analysis, with an Introduction to Linear Operators provides a uniquely broad compendium of the key mathematical concepts and results that are relevant for the theoretical development of functional data analysis (FDA). The self–contained treatment of selected topics of functional analysis and operator... more...