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Multivariate analysis

Most popular at the top

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

    Taylor and Francis 2013; US$ 59.95

    Designed for students and researchers who want to know more about this extension of the two-dimensional chi-square, this book introduces basic ideas in clear and straightforward prose and applies them to a core of example studies. 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...

  • Spectral Clustering and Biclusteringby Marianna Bolla

    Wiley 2013; US$ 90.00

    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...

  • 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

    First Published in 1996. Routledge is an imprint of Taylor & Francis, an informa company. 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$ 95.00

    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$ 80.00

    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...

  • Compositional Data Analysisby Vera Pawlowsky-Glahn; Antonella Buccianti

    Wiley 2011; US$ 114.00

    It is difficult to imagine that the statistical analysis of compositional data has been a major issue of concern for more than 100 years. It is even more difficult to realize that so many statisticians and users of statistics are unaware of the particular problems affecting compositional data, as well as their solutions. The issue of ``spurious correlation'',... more...