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Multivariate analysis

Most popular at the top

  • Introduction to Nonparametric Regressionby K. Takezawa

    Wiley 2005; US$ 190.00 US$ 164.67

    An easy-to-grasp introduction to nonparametric regression This book's straightforward, step-by-step approach provides an excellent introduction to the field for novices of nonparametric regression. Introduction to Nonparametric Regression clearly explains the basic concepts underlying nonparametric regression and features: * Thorough explanations... more...

  • Latent Curve Modelsby Kenneth A. Bollen; Patrick J. Curran

    Wiley 2006; US$ 153.00 US$ 132.60

    An effective technique for data analysis in the social sciences The recent explosion in longitudinal data in the social sciences highlights the need for this timely publication. Latent Curve Models: A Structural Equation Perspective provides an effective technique to analyze latent curve models (LCMs). This type of data features random intercepts... more...

  • Nonparametric Regression Methods for Longitudinal Data Analysisby Hulin Wu; Jin-Ting Zhang

    Wiley 2006; US$ 154.00 US$ 133.47

    Incorporates mixed-effects modeling techniques for more powerful and efficient methods This book presents current and effective nonparametric regression techniques for longitudinal data analysis and systematically investigates the incorporation of mixed-effects modeling techniques into various nonparametric regression models. The authors emphasize... more...

  • A Contingency Table Approach to Nonparametric Testingby J.C.W. Rayner; D.J. Best

    CRC Press 2000; US$ 189.95

    Most texts on nonparametric techniques concentrate on location and linear-linear (correlation) tests, with less emphasis on dispersion effects and linear-quadratic tests. Tests for higher moment effects are virtually ignored. Using a fresh approach, A Contingency Table Approach to Nonparametric Testing unifies and extends the popular, standard tests... more...

  • Subset Selection in Regressionby Alan Miller

    CRC Press 2002; US$ 172.95

    Originally published in 1990, the first edition of Subset Selection in Regression filled a significant gap in the literature, and its critical and popular success has continued for more than a decade. Thoroughly revised to reflect progress in theory, methods, and computing power, the second edition promises to continue that tradition. The author has... more...

  • Regression Analysis by Exampleby Samprit Chatterjee; Ali S. Hadi

    Wiley 2006; US$ 152.00 US$ 131.73

    The essentials of regression analysis through practical applications Regression analysis is a conceptually simple method for investigating relationships among variables. Carrying out a successful application of regression analysis, however, requires a balance of theoretical results, empirical rules, and subjective judgement. Regression Analysis... more...

  • Measurement Error in Nonlinear Modelsby Raymond J. Carroll; David Ruppert; Leonard A. Stefanski; Ciprian M. Crainiceanu

    CRC Press 2006; US$ 125.95

    It?s been over a decade since the first edition of Measurement Error in Nonlinear Models splashed onto the scene, and research in the field has certainly not cooled in the interim. In fact, quite the opposite has occurred. As a result, Measurement Error in Nonlinear Models: A Modern Perspective, Second Edition has been revamped and extensively... more...

  • Introduction to Clustering Large and High-Dimensional Databy Jacob Kogan

    Cambridge University Press 2006; US$ 37.00

    Focuses on a few of the important clustering algorithms in the context of information retrieval. more...

  • Handbook of Latent Variable and Related Modelsby Sik-Yum Lee

    Elsevier Science 2011; US$ 180.00

    This Handbook covers latent variable models, which are a flexible class of models for modeling multivariate data to explore relationships among observed and latent variables. - Covers a wide class of important models - Models and statistical methods described provide tools for analyzing a wide spectrum of complicated data - Includes illustrative examples... more...

  • Structural Equation Modelingby Sik-Yum Lee

    Wiley 2007; US$ 151.00 US$ 130.87

    ***Winner of the 2008 Ziegel Prize for outstanding new book of the year*** Structural equation modeling (SEM) is a powerful multivariate method allowing the evaluation of a series of simultaneous hypotheses about the impacts of latent and manifest variables on other variables, taking measurement errors into account. As SEMs have grown in popularity... more...