Description

Book Synopsis

Multivariate Statistical Methods: A Primer offers an introduction to multivariate statistical methods in a rigorous yet intuitive way, without an excess of mathematical details. In this fifth edition, all chapters have been revised and updated, with clearer and more direct language than in previous editions, and with more up-to-date examples, exercises, and references, in areas as diverse as biology, environmental sciences, economics, social medicine, and politics.

Features

A concise and accessible conceptual approach that requires minimal mathematical background.

Suitable for a wide range of applied statisticians and professionals from the natural and social sciences.

Presents all the key topics for a multivariate statistics course.

The R code in the appendices has been updated, and there is a new appendix introducing programming basics for R.

The data from examples and exercises are available on a companion website.

This

Multivariate Statistical Methods

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    £133.00

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    RRP £140.00 – you save £7.00 (5%)

    Order before 4pm today for delivery by Wed 24 Jun 2026.

    A Hardback by Bryan F. J. Manly

    15 in stock


      View other formats and editions of Multivariate Statistical Methods by Bryan F. J. Manly

      Publisher: Taylor & Francis Ltd
      Publication Date: 1/4/2024
      ISBN13: 9781032592008, 978-1032592008
      ISBN10: 1032592001
      Also in:
      Psychological methodology

      Description

      Book Synopsis

      Multivariate Statistical Methods: A Primer offers an introduction to multivariate statistical methods in a rigorous yet intuitive way, without an excess of mathematical details. In this fifth edition, all chapters have been revised and updated, with clearer and more direct language than in previous editions, and with more up-to-date examples, exercises, and references, in areas as diverse as biology, environmental sciences, economics, social medicine, and politics.

      Features

      A concise and accessible conceptual approach that requires minimal mathematical background.

      Suitable for a wide range of applied statisticians and professionals from the natural and social sciences.

      Presents all the key topics for a multivariate statistics course.

      The R code in the appendices has been updated, and there is a new appendix introducing programming basics for R.

      The data from examples and exercises are available on a companion website.

      This

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