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
The Practice of Statistics in the Life Sciences
Language: en
Pages: 756
Authors: Brigitte Baldi
Categories: Mathematics
Type: BOOK - Published: 2013-12-15 - Publisher: Macmillan Higher Education

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This remarkably engaging textbook gives biology students an introduction to statistical practice all their own. It covers essential statistical topics with exam
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
Statistics for High-Dimensional Data
Language: en
Pages: 568
Authors: Peter Bühlmann
Categories: Mathematics
Type: BOOK - Published: 2011-06-08 - Publisher: Springer Science & Business Media

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Modern statistics deals with large and complex data sets, and consequently with models containing a large number of parameters. This book presents a detailed ac