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Multivariate analysis

Most popular at the top

  • 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...

  • 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...

  • 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...

  • 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...

  • Methods of Multivariate Analysisby Alvin C. Rencher

    Wiley 2003; US$ 179.00

    Amstat News asked three review editors to rate their top five favorite books in the September 2003 issue. Methods of Multivariate Analysis was among those chosen. When measuring several variables on a complex experimental unit, it is often necessary to analyze the variables simultaneously, rather than isolate them and consider them individually.... more...

  • Regression And Time Series Model Selectionby A D R McQuarrie; C L Tsai

    World Scientific Publishing Company 1998; US$ 107.00

    This important book describes procedures for selecting a model from a large set of competing statistical models. It includes model selection techniques for univariate and multivariate regression models, univariate and multivariate autoregressive models, nonparametric (including wavelets) and semiparametric regression models, and quasi-likelihood and... more...

  • Generalized Latent Variable Modelingby Anders Skrondal; Sophia Rabe-Hesketh

    Taylor and Francis 2004; US$ 119.95

    This book unifies and extends latent variable models, including multilevel or generalized linear mixed models, longitudinal or panel models, item response or factor models, latent class or finite mixture models, and structural equation models. Following a gentle introduction to latent variable modeling, the authors clearly explain and contrast a wide... more...

  • Exploratory Data Analysis with MATLABby Wendy L. Martinez; Angel Martinez; Jeffrey Solka

    Taylor and Francis 2004; US$ 89.95

    Exploratory data analysis (EDA) was conceived at a time when computers were not widely used, and thus computational ability was rather limited. As computational sophistication has increased, EDA has become an even more powerful process for visualizing and summarizing data before making model assumptions to generate hypotheses, encompassing larger and... more...

  • Hierarchical Modeling and Analysis for Spatial Databy Bradley P. Carlin; Alan E. Gelfand; Sudipto Banerjee

    Taylor and Francis 2003; US$ 109.95

    Among the many uses of hierarchical modeling, their application to the statistical analysis of spatial and spatio-temporal data from areas such as epidemiology And environmental science has proven particularly fruitful. Yet to date, the few books that address the subject have been either too narrowly focused on specific aspects of spatial analysis,... more...

  • Order Statisticsby Herbert A. David; H. N. Nagaraja

    Wiley 2004; US$ 174.00

    A completely revised and expanded edition of a classic resource In the over twenty years since the publication of the Second Edition of Order Statistics, the theories and applications of this dynamic field have changed markedly. Meeting the challenges and demands of today’s students and research community, authors H. A. David and H. N. Nagaraja... more...