Methods of multivariate analysis / Alvin C. Rencher.
By: Rencher, Alvin C.
Material type: BookSeries: Wiley series in probability and mathematical statistics.Publisher: New York ; Chichester : Wiley, 1995Description: xvi, 627 p. ; 25 cm. + hbk.ISBN: 0471571520.Subject(s): Multivariate analysisDDC classification: 519.535Item type | Current library | Call number | Copy number | Status | Date due | Barcode | Item holds |
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General Lending | MTU Bishopstown Library Lending | 519.535 (Browse shelf(Opens below)) | 1 | Available | 00014960 |
Enhanced descriptions from Syndetics:
Researchers involved in the collection of scientific data often end up with multivariate systems. When several variables are simultaneously measured on the same experimental unity, they are usually correlated, and the pattern formed is often too difficult for the human mind to grasp. This text discusses in detail many proven techniques for finding the dimensionality of the pattern and unravelling the information contained in the complexity of variables. The book includes exercises and solutions as well as 41 data sets taken from various areas of application, such as engineering, manufacturing, medicine, social science and economics.
Includes bibliographical references (pages 606-617) and index.
Introduction -- Matrix algebra -- Characterizing and displaying multivariate data -- The multivaraiate normal distribution -- Tests on one or two mean vectors -- Multivariate analysis of variance -- Tests on covariance matrices -- Discriminant analysis:description of group separation -- Classification analysis: allocation of observations to groups -- Multivariate regression -- Canonical correlation -- Principal component analysis -- Factor analysis.
Table of contents provided by Syndetics
- Introduction
- Matrix Algebra
- Characterizing and Displaying Multivariate Data
- The Multivariate Normal Distribution
- Tests on One or Two Mean Vectors
- Multivariate Analysis of Variance
- Tests on Covariance Matrices
- Discriminant Analysis: Description of Group Separation
- Classification Analysis: Allocation of Observations to Groups
- Multivariate Regression
- Canonical Correlation
- Principal Component Analysis
- Factor Analysis
- Cluster Analysis
- Graphical Procedures
- Tables
- Answers and Hints to Problems
- Data Sets and SAS Files
- References
- Index