Applied Multivariate Techniques

Inbunden, Engelska, 1995

3 464 kr

Beställningsvara. Skickas inom 5-8 vardagar. Fri frakt över 249 kr.

Beskrivning

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).

Produktinformation

Utgivningsdatum:1995-11-07
Mått:178 x 252 x 28 mm
Vikt:1 043 g
Format:Inbunden
Språk:Engelska
Antal sidor:512
Förlag:John Wiley & Sons Inc
ISBN:9780471310648

Utforska kategorier

Mer om författaren

Subhash Sharma is the author of Applied Multivariate Techniques , published by Wiley.

Innehållsförteckning

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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Applied Multivariate Techniques

AvSubhash Sharma

Inbunden, Engelska, 1995

3 464 kr

Beställningsvara. Skickas inom 5-8 vardagar. Fri frakt över 249 kr.

Beskrivning

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).

Produktinformation

Utgivningsdatum:1995-11-07
Mått:178 x 252 x 28 mm
Vikt:1 043 g
Format:Inbunden
Språk:Engelska
Antal sidor:512
Förlag:John Wiley & Sons Inc
ISBN:9780471310648

Utforska kategorier

Mer om författaren

Subhash Sharma is the author of Applied Multivariate Techniques , published by Wiley.

Innehållsförteckning

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.