Modern Statistics for the Life Sciences

Modern Statistics for the Life Sciences
Author: Alan Grafen
Publisher: Oxford University Press
Total Pages: 368
Release: 2002-03-21
Genre: Mathematics
ISBN: 0199252319

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Model formulae represent a powerful methodology for describing, discussing, understanding, and performing that large part of statistical tests known as linear statistics. The book aims to put this methodology firmly within the grasp of undergraduates.


Modern Statistics for the Life Sciences
Language: en
Pages: 368
Authors: Alan Grafen
Categories: Mathematics
Type: BOOK - Published: 2002-03-21 - Publisher: Oxford University Press

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Model formulae represent a powerful methodology for describing, discussing, understanding, and performing that large part of statistical tests known as linear s
Modern Statistics for Modern Biology
Language: en
Pages: 454
Authors: Susan Holmes
Categories: Medical
Type: BOOK - Published: 2019-02-28 - Publisher: Cambridge University Press

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If you are a biologist and want to get the best out of the powerful methods of modern computational statistics, this is your book. You can visualize and analyze
Modern Issues and Methods in Biostatistics
Language: en
Pages: 316
Authors: Mark Chang
Categories: Medical
Type: BOOK - Published: 2011-07-15 - Publisher: Springer Science & Business Media

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Classic biostatistics, a branch of statistical science, has as its main focus the applications of statistics in public health, the life sciences, and the pharma
Applied Statistics with R
Language: en
Pages: 334
Authors: Justin C. Touchon
Categories: Science
Type: BOOK - Published: 2021-06-30 - Publisher: Oxford University Press

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The statistical analyses that students of the life-sciences are being expected to perform are becoming increasingly advanced. Whether at the undergraduate, grad
Statistical Research Methods in the Life Sciences
Language: en
Pages: 920
Authors: Pejaver Vishwamber Rao
Categories: Computers
Type: BOOK - Published: 1998 - Publisher: Duxbury Resource Center

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Appropriate for all courses in statistical methods for the agricultural, life, health, and environmental sciences, this book offers a practical and modern appro