Using Multivariate Statistics

Using Multivariate Statistics
ISBN-10
0205459382
ISBN-13
9780205459384
Series
Using Multivariate Statistics
Category
Mathematics
Pages
980
Language
English
Published
2007
Publisher
Allyn & Bacon
Authors
Barbara G. Tabachnick, Linda S. Fidell

Description

A guide to statistical techniques: using the book; Review of univariate and bivariate statistics; Cleaning up uur act: screening data prior to analysis; Multiple regression; Analysis of covariance; Multivariance analysis of variance and covariance; Profile analysis: the multivariate approach to repeated measures; Discriminant analysis; Logistic regression; Survival / failure analysis; Canonical correlation; Principal components and factor analysis; Structural equation modeling; Multilevel modeling; Multiwy frequency anlaysis; Overview of the general linear model; Them-series analysis (available online at www.ablongman.com/achnick5e); A skimply introduction to matrix algebra; Research designs for complete examples; Statistical tables.

Other editions

Similar books

  • Using Multivariate Statistics
    By Barbara G. Tabachnick, Linda S. Fidell

    Learning Goals Upon completing this book, readers should be able to: Learn to conduct numerous types of multivariate statistical analyses Find the best technique to use Understand Limitations to applications Learn how to use SPSS and SAS ...

  • Using Multivariate Statistics
    By Barbara G. Tabachnick, Linda S. Fidell, Jodie B. Ullman

    Using Multivariate Statistics

  • Using Multivariate Statistics
    By Barbara G. Tabachnick, Linda S. Fidell

    Learning Goals Upon completing this book, readers should be able to: Learn to conduct numerous types of multivariate statistical analyses Find the best technique to use Understand Limitations to applications Learn how to use SPSS and SAS ...

  • Using R With Multivariate Statistics
    By Randall E. Schumacker

    Kick Start R for Repeated Measures http://cran.r-project.org/doc/contrib/Lemon-kickstart/kr_repms.html Overview of Multivariate Statistical Methods in R http://cran.r-project.org/web/views/Multivariate.html References Anderson ...

  • Handbook of Applied Multivariate Statistics and Mathematical Modeling
    By Steven D. Brown, Howard E.A. Tinsley

    The Handbook emphasizes using models and statistics as tools. The objective of the book is to inform readers about which tool to use to accomplish which task.

  • Applied Statistics: From Bivariate Through Multivariate Techniques
    By Rebecca M. Warner

    Rebecca M. Warner's Applied Statistics: From Bivariate Through Multivariate Techniques, Second Edition provides a clear introduction to widely used topics in bivariate and multivariate statistics, including multiple regression, discriminant ...

  • Using R With Multivariate Statistics
    By Randall E. Schumacker

    Designed to serve as a companion to a more comprehensive text on multivariate statistics, this book helps students and researchers in the social and behavioral sciences get up to speed with using R. It provides data analysis examples, R ...

  • Advanced and Multivariate Statistical Methods: Practical Application and Interpretation
    By Craig A. Mertler, Rachel A. Vannatta

    Students also learn how to compute each technique using SPSS software. New to the Sixth Edition Instructor ancillaries are now available with the sixth edition.

  • Applied Multivariate Statistics for the Social Sciences: Analyses with SAS and IBM’s SPSS, Sixth Edition
    By Keenan A. Pituch, James P. Stevens

    Features new to this edition include: NEW chapter on Logistic Regression (Ch. 11) that helps readers understand and use this very flexible and widely used procedure NEW chapter on Multivariate Multilevel Modeling (Ch. 14) that helps readers ...

  • Multivariate Statistical Quality Control Using R
    By Edgar Santos-Fernández

    These analyses are performed almost exclusively with multivariate methodologies. The aim of this Brief is to present the most important MSQC techniques developed in R language. The book is divided into two parts.