£123.53

Springer Multivariate Data Analysis - Astrophysics & Space Science Library 131

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Description

This comprehensive guide introduces essential multivariate statistical techniques tailored for astronomers and researchers across scientific disciplines. The book addresses the growing demand for accessible statistical methodology within the astronomical community by presenting practical algorithms and analytical approaches applicable to complex data analysis challenges. Each chapter concludes with extensive annotated bibliographic references covering both general statistical theory and astronomy-specific applications, offering valuable starting points for research workers in diverse astronomical sub-disciplines. Whether you work in observational astronomy, cosmology, or related scientific fields, this Springer publication equips you with the statistical tools needed to extract meaningful insights from multidimensional datasets and advance your research capabilities.

Key Features

Multivariate Data Analysis covers fundamental and advanced statistical techniques specifically selected for relevance to astronomical research and data interpretation.

The book includes extensive annotated bibliographies after each chapter, providing comprehensive entry-points into specialized literature for researchers across all astronomical sub-disciplines.

Published by Springer as part of the Astrophysics and Space Science Library series (volume 131), ensuring academic rigor and peer-reviewed content.

Statistical algorithms presented throughout the text are designed for astronomy but remain applicable to similar analytical problems in other scientific branches.

This introductory text balances mathematical clarity with practical application, making advanced multivariate methods accessible to researchers without specialised statistical backgrounds.

Product Specifications

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

Barcode

No barcode data available

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