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Multivariate analysis

Most popular at the top

  • Regressionby N. H. Bingham; John M. Fry

    Springer 2010; US$ 49.95

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  • 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...

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

    Taylor and Francis 2013; US$ 59.95

    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...

  • Applied Spatial Data Analysis with Rby Roger S. Bivand; Edzer Pebesma; Virgilio Gómez-Rubio

    Springer 2013; US$ 64.99

    Applied Spatial Data Analysis with R, second edition, is divided into two basic parts, the first presenting R packages, functions, classes and methods for handling spatial data. This part is of interest to users who need to access and visualise spatial data. Data import and export for many file formats for spatial data are covered in detail, as is... more...

  • Unobserved Variablesby David J. Bartholomew

    Springer 2013; US$ 54.99

    ?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$ 125.00

    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$ 271.00

    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 Gé Govaert; rard; Mohamed Nadif

    Wiley 2013; US$ 97.95

    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 Calibration of Rating Modelsby Paul Markus Konrad

    Tectum Verlag 2014; US$ 25.69

    All across Europe, a drama of historical proportions is unfolding as the debt crisis continues to rock the worldwide financial landscape. Whilst insecurity rises, the general public, policy makers, scientists and academics are searching high and low for independent and objective analyses that may help to assess this unusual situation. For more than... more...

  • Strukturgleichungsmodelle in den Sozialwissenschaftenby Jost Reinecke

    De Gruyter 2014; US$ 560.00

    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...