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Multivariate analysis

  • 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$ 69.95

    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...

  • Robuste Ratingverfahrenby Andreas Oelerich

    Deutscher Universitätsverlag 2015; US$ 69.99

    Andreas Oelerich untersucht die Qualität statistischer Ratingverfahren. Er diskutiert den Ratingbegriff und zeigt Anwendungsgebiete in der Finanzwirtschaft sowie mathematisch-statistische Ratingverfahren auf. Anschließend stellt er ein Assessment-Center vor, das die Evaluierung verschiedener quantitativer Ratingverfahren zulässt. Simulationsstudien... more...

  • Modeling and Analysis of Compositional Databy Vera Pawlowsky-Glahn; Juan José Egozcue; ; Raimon Tolosana-Delgado

    Wiley 2015; US$ 99.50

    Modeling and Analysis of Compositional Data presents a practical and comprehensive introduction to the analysis of compositional data along with numerous examples to illustrate both theory and application of each method. Based upon short courses delivered by the authors, it provides a complete and current compendium of fundamental to advanced methodologies... more...

  • Learning R for Geospatial Analysisby Michael Dorman

    Packt Publishing 2014; US$ 29.99

    This book is intended for anyone who wants to learn how to efficiently analyze geospatial data with R, including GIS analysts, researchers, educators, and students who work with spatial data and who are interested in expanding their capabilities through programming. The book assumes familiarity with the basic geographic information concepts (such as... more...

  • Topics in Nonparametric Statisticsby Michael G. Akritas; S. N. Lahiri; Dimitris N. Politis

    Springer New York 2014; US$ 139.00

    This volume is composed of peer-reviewed papers that have developed from the First Conference of the International Society for Non Parametric Statistics (ISNPS). This inaugural conference took place in Chalkidiki, Greece, June 15-19, 2012. It was organized with the co-sponsorship of the IMS, the ISI and other organizations. M.G. Akritas, S.N. Lahiri... more...

  • Multiple Factor Analysis by Example Using Rby Jérôme Pagès

    CRC Press 2014; US$ 89.95

    Principal Component Analysis Multiple Correspondence Analysis Factor Analysis for Mixed Data Weighting Groups of Variables Comparing Clouds of Partial Individuals Factors Common to Different Groups of Variables Comparing Groups of Variables and Indscal Model Qualitative and Mixed Data Multiple Factor Analysis and Procrustes Analysis... more...

  • A Primer of Multivariate Statisticsby Richard J. Harris

    Taylor and Francis 2014; US$ 54.95

    Drawing upon more than 30 years of experience in working with statistics, Dr. Richard J. Harris has updated A Primer of Multivariate Statistics to provide a model of balance between how-to and why. This classic text covers multivariate techniques with a taste of latent variable approaches. Throughout the book there is a focus on the importance of... more...