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Multivariate analysis

Most popular at the top

  • Regression Analysisby Bruce Bowerman; Emily Murphree

    Business Expert Press 2014; US$ 19.95

    Regression Analysis: Unified Concepts, Practical Applications, Computer Implementation is a concise and innovative book that gives a complete presentation of applied regression analysis 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... more...

  • Smoothing of Multivariate Databy Klemelä; Jussi

    Wiley 2009; US$ 153.00

    An applied treatment of the key methods and state-of-the-art tools for visualizing and understanding statistical data Smoothing of Multivariate Data provides an illustrative and hands-on approach to the multivariate aspects of density estimation, emphasizing the use of visualization tools. Rather than outlining the theoretical concepts of classification... more...

  • Spectral Clustering and Biclusteringby Marianna Bolla

    Wiley 2013; US$ 93.00

    Explores regular structures in graphs and contingency tables by spectral theory and statistical methods This book bridges the gap between graph theory and statistics by giving answers to the demanding questions which arise when statisticians are confronted with large weighted graphs or rectangular arrays. Classical and modern statistical methods... more...

  • Statistical Analysisby A. A. Afifi; S. P. Azen

    Elsevier Science 2014; US$ 72.95

    Statistical Analysis: A Computer Oriented Approach discusses the probabilistic foundations of statistics, the standard statistical inference procedures, regression, and correlation analysis. The book also explains the analysis of variance and multivariate analysis, with an emphasis on the applications and interpretations of statistical tools. The text... more...

  • Statistical Analysis and Modelling of Spatial Point Patternsby Janine Illian; Antti Penttinen; Helga Stoyan; Dietrich Stoyan

    Wiley 2008; US$ 156.00

    Spatial point processes are mathematical models used to describe and analyse the geometrical structure of patterns formed by objects that are irregularly or randomly distributed in one-, two- or three-dimensional space. Examples include locations of trees in a forest, blood particles on a glass plate, galaxies in the universe, and particle centres... more...

  • Statistics for Spatial Databy Noel Cressie

    Wiley 2015; US$ 199.95

    The Wiley Classics Library consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists.... more...

  • Structural Equation Modeling With Lisrel, Prelis, and Simplisby Barbara M. Byrne

    Taylor and Francis 2013; US$ 54.95

    This book illustrates the ease with which various features of LISREL 8 and PRELIS 2 can be implemented in addressing research questions that lend themselves to SEM. Its purpose is threefold: (a) to present a nonmathmatical introduction to basic concepts associated with SEM, (b) to demonstrate basic applications of SEM using both the DOS and Windows... more...

  • Strukturgleichungsmodelle in den Sozialwissenschaftenby Jost Reinecke

    De Gruyter 2014; US$ 56.00

    This work provides a basic introduction to modeling using structural equations, including a broad survey of potential areas of application. It shows how one can perform relevant analyses of empirical data using widely disseminated modeling programs. This textbook is designed for use in advanced courses in statistics and multivariate analytic... 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...

  • Understanding Log-linear Analysis With Ilogby Roger Bakeman; Byron F. Robinson

    Taylor and Francis 2013; US$ 59.95

    Whenever data are categorical and their frequencies can be arrayed in multidimensional tables, log-linear analysis is appropriate. Like analysis of variance and multiple regression for quantitative data, log-linear analysis lets users ask which main effects and interactions affect an outcome of interest. Until recently, however, log-linear analysis... more...