Multivariate Data Analysis

✍ Scribed by Fionn Murtagh, André Heck (auth.)

Publisher: Springer Netherlands
Year: 1987
Tongue: English
Leaves: 224
Series: Astrophysics and Space Science Library 131
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

Interest in statistical methodology is increasing so rapidly in the astronomical community that accessible introductory material in this area is long overdue. This book fills the gap by providing a presentation of the most useful techniques in multivariate statistics.
A wide-ranging annotated set of general and astronomical bibliographic references follows each chapter, providing valuable entry-points for research workers in all astronomical sub-disciplines.
Although the applications considered focus on astronomy, the algorithms used can be applied to similar problems in other branches of science. Fortran programs are provided for many of the methods described.

✦ Table of Contents

Front Matter....Pages i-xvi
Data Coding and Initial Treatment....Pages 1-12
Principal Components Analysis....Pages 13-53
Cluster Analysis....Pages 55-109
Discriminant Analysis....Pages 111-154
Other Methods....Pages 155-172
Case Study: IUE Low Dispersion Spectra....Pages 173-193
Conclusion: Strategies for Analysing Data....Pages 195-197
Back Matter....Pages 199-215

✦ Subjects

Statistics, general; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences

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