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Springer Multivariate Data Analysis: 131 Astrophysics Library

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Description

As interest in statistical methodology grows within the astronomical community, finding accessible introductory material is essential. This book from the Astrophysics and Space Science Library addresses this need by presenting the most useful techniques in multivariate statistics. Designed for researchers, the text provides a clear presentation of statistical methods tailored to astronomical needs. Each chapter concludes with a wide-ranging set of annotated bibliographic references, covering both general and astronomical sources. These references serve as valuable entry points for research workers across all astronomical sub-disciplines. While the primary focus of the applications is on astronomy, the algorithms presented are versatile. They can be applied to similar data problems in other branches of science, making this a practical resource for anyone working with complex datasets in scientific research.

Key Features

Provides a presentation of the most useful techniques in multivariate statistics for astronomical research.

Includes annotated bibliographic references after each chapter to assist with further scientific study.

Offers entry points for research workers across all astronomical sub-disciplines through curated references.

Features versatile algorithms that can be applied to similar problems in other scientific branches.

Part of the specialized Astrophysics and Space Science Library (Volume 131) by Springer.

Product Specifications

Format
paperback
Domain
Amazon UK
Publication Date
30 November 1987
Listed Since
09 December 2006

Barcode

No barcode data available

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