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Multivariate analysis

Most popular at the top

  • Unobserved Variablesby David J. Bartholomew

    Springer Berlin Heidelberg 2013; US$ 50.62

    ​The classical statistical problem typically involves a probability distribution which depends on a number of unknown parameters. The form of the distribution may be known, partially or completely, and inferences have to be made on the basis of a sample of observations drawn from the distribution; often, but not necessarily, a random sample. This brief... more...

  • Advanced Structural Equation Modelingby George A. Marcoulides; Randall E. Schumacker

    Taylor and Francis 2013; US$ 47.95

    By focusing primarily on the application of structural equation modeling (SEM) techniques in example cases and situations, this book provides an understanding and working knowledge of advanced SEM techniques with a minimum of mathematical derivations. The book was written for a broad audience crossing many disciplines, assumes an understanding of graduate... more...

  • Multivariate Statistical Simulationby Mark E. Johnson

    Wiley 2013; US$ 280.00 US$ 252.00

    Provides state-of-the-art coverage for the researcher confronted with designing and executing a simulation study using continuous multivariate distributions. Concise writing style makes the book accessible to a wide audience. Well-known multivariate distributions are described, emphasizing a few representative cases from each distribution. Coverage... more...

  • Co-Clusteringby Gérard Govaert; Mohamed Nadif

    Wiley 2013; US$ 100.95 US$ 90.86

    Cluster or co-cluster analyses are important tools in a variety of scientific areas. The introduction of this book presents a state of the art of already well-established, as well as more recent methods of co-clustering. The authors mainly deal with the two-mode partitioning under different approaches, but pay particular attention to a probabilistic... more...

  • The Geometry of Multivariate Statisticsby Thomas D. Wickens

    Taylor and Francis 2014; US$ 54.95

    A traditional approach to developing multivariate statistical theory is algebraic. Sets of observations are represented by matrices, linear combinations are formed from these matrices by multiplying them by coefficient matrices, and useful statistics are found by imposing various criteria of optimization on these combinations. Matrix algebra is the... more...

  • Nonparametric Hypothesis Testingby Stefano Bonnini; Livio Corain; Marco Marozzi; Luigi Salmaso

    Wiley 2014; US$ 93.00 US$ 83.70

    A novel presentation of rank and permutation tests, with accessible guidance to applications in R Nonparametric testing problems are frequently encountered in many scientific disciplines, such as engineering, medicine and the social sciences. This book summarizes traditional rank techniques and more recent developments in permutation testing as... more...

  • Applied Regression Analysisby Norman R. Draper; Harry Smith

    Wiley 2014; US$ 200.95 US$ 180.86

    An outstanding introduction to the fundamentals of regression analysis-updated and expanded The methods of regression analysis are the most widely used statistical tools for discovering the relationships among variables. This classic text, with its emphasis on clear, thorough presentation of concepts and applications, offers a complete, easily accessible... more...

  • Experimental Designby Bruce L. Bowerman; Richard T. O’Connell

    Business Expert Press 2014; US$ 19.95

    This book is a concise and innovative book that gives a complete presentation of the design and analysis of experiments in approximately one half the space of competing books. With only the modest prerequisite of a basic (non-calculus) statistics course, this text is appropriate for the widest possible audience. Two procedures are generally used to... more...

  • A Primer of Multivariate Statisticsby Richard J. Harris

    Taylor and Francis 2001; 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...

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

    Wiley 2015; US$ 109.00 US$ 98.10

    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...