Description

Book Synopsis
This book focuses on when to use the various analytic techniques and how to interpret the resulting output from the most widely used statistical packages (e.g. , SAS, SPSS).

Table of Contents
Geometric Concepts of Data Manipulation.

Fundamentals of Data Manipulation.

Principal Components Analysis.

Factor Analysis.

Confirmatory Factor Analysis.

Cluster Analysis.

Two-Group Discriminant Analysis.

Multiple-Group Discriminant Analysis.

Logistic Regression.

Multivariate Analysis of Variance.

Assumptions.

Canonical Correlation.

Covariance Structure Models.

Statistical Tables.

References.

Tables, Figures, and Exhibits.

Index.

Applied Multivariate Techniques

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    A Hardback by Subhash Sharma


      View other formats and editions of Applied Multivariate Techniques by Subhash Sharma

      Publisher: John Wiley & Sons Inc
      Publication Date: 15/12/1995
      ISBN13: 9780471310648, 978-0471310648
      ISBN10: 0471310646
      Also in:
      Mathematics Applied mathematics

      Description

      Book Synopsis
      This book focuses on when to use the various analytic techniques and how to interpret the resulting output from the most widely used statistical packages (e.g. , SAS, SPSS).

      Table of Contents
      Geometric Concepts of Data Manipulation.

      Fundamentals of Data Manipulation.

      Principal Components Analysis.

      Factor Analysis.

      Confirmatory Factor Analysis.

      Cluster Analysis.

      Two-Group Discriminant Analysis.

      Multiple-Group Discriminant Analysis.

      Logistic Regression.

      Multivariate Analysis of Variance.

      Assumptions.

      Canonical Correlation.

      Covariance Structure Models.

      Statistical Tables.

      References.

      Tables, Figures, and Exhibits.

      Index.

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