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Practical Data Analysis for Designed Experiments

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Practical Data Analysis for Designed Experiments Synopsis

Placing data in the context of the scientific discovery of knowledge through experimentation, Practical Data Analysis for Designed Experiments examines issues of comparing groups and sorting out factor effects and the consequences of imbalance and nesting, then works through more practical applications of the theory. Written in a modern and accessible manner, this book is a useful blend of theory and methods. Exercises included in the text are based on real experiments and real data.

About This Edition

ISBN: 9780412063411
Publication date:
Author: Brian S Yandell
Publisher: Routledge an imprint of CRC Press
Format: Hardback
Pagination: 437 pages
Series: Chapman & Hall Texts in Statistical Science Series
Genres: Probability and statistics