Experimental Design and Data Analysis for Biologists

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9780521009768: Experimental Design and Data Analysis for Biologists
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This essential textbook is designed for students or researchers in biology who need to design experiments, sampling programs, or analyze resulting data. The text begins with a revision of estimation and hypothesis testing methods, before advancing to the analysis of linear and generalized linear models. The chapters include such topics as linear and logistic regression, simple and complex ANOVA models, log-linear models, and multivariate techniques. The main analyses are illustrated with many examples from published papers and an extensive reference list to both the statistical and biological literature is also included. The book is supported by a web-site that provides all data sets, questions for each chapter and links to software.

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Book Description:

An essential textbook for any student or researcher in biology needing to design experiments, sampling programs or analyse the resulting data. Both univariate and multivariate statistics are covered, and special emphasis is placed on checking assumptions, exploratory data analysis and presentation of results. The main analyses are illustrated with many examples from published papers and there is an extensive reference list to both the statistical and biological literature. The book is supported by a web-site that provides all data sets, questions for each chapter and links to software.

About the Author:

Gerry Quinn is a Senior Lecturer in the School of Biological Sciences at Monash University, and Program Leader in the Cooperative Research Centre for Freshwater Ecology. He has taught experimental design and analysis courses for a number of years and has provided advice on the design and analysis of sampling and experimental programs in ecology and environmental monitoring to a wide range of university and government scientists. Gerry Quinn is a co-author of Monitoring Ecological Impacts: Concepts and Practice in Flowing Waters, Cambridge University Press, 2002.

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Book Description CAMBRIDGE UNIVERSITY PRESS, United Kingdom, 2017. Paperback. Condition: New. Language: English . Brand New Book. An essential textbook for any student or researcher in biology needing to design experiments, sample programs or analyse the resulting data. The text begins with a revision of estimation and hypothesis testing methods, covering both classical and Bayesian philosophies, before advancing to the analysis of linear and generalized linear models. Topics covered include linear and logistic regression, simple and complex ANOVA models (for factorial, nested, block, split-plot and repeated measures and covariance designs), and log-linear models. Multivariate techniques, including classification and ordination, are then introduced. Special emphasis is placed on checking assumptions, exploratory data analysis and presentation of results. The main analyses are illustrated with many examples from published papers and there is an extensive reference list to both the statistical and biological literature. The book is supported by a website that provides all data sets, questions for each chapter and links to software. Seller Inventory # AAZ9780521009768

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Book Description Cambridge University Press, 2002. Condition: New. 2002. 1st Edition. Paperback. An essential textbook for any biologist needing to design experiments, sample programs or analyse the resulting data. Num Pages: 553 pages, 125 b/w illus. 85 tables. BIC Classification: PBW; PSA. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 245 x 189 x 26. Weight in Grams: 1188. 556 pages, 125 b/w illus. 85 tables. An essential textbook for any biologist needing to design experiments, sample programs or analyse the resulting data. Cateogry: (P) Professional & Vocational; (U) Tertiary Education (US: College). BIC Classification: PBW; PSA. Dimension: 245 x 189 x 26. Weight: 1060. . . . . . . Seller Inventory # V9780521009768

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Book Description Paperback. Condition: New. Not Signed; An essential textbook for any student or researcher in biology needing to design experiments, sample programs or analyse the resulting data. The text begins with a revision of estimation and hypothesis testing methods, covering both classical and Bayesian philosophies, before advancing to the analys. book. Seller Inventory # ria9780521009768_rkm

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Book Description CAMBRIDGE UNIVERSITY PRESS, United Kingdom, 2017. Paperback. Condition: New. Language: English . Brand New Book ***** Print on Demand *****.An essential textbook for any student or researcher in biology needing to design experiments, sample programs or analyse the resulting data. The text begins with a revision of estimation and hypothesis testing methods, covering both classical and Bayesian philosophies, before advancing to the analysis of linear and generalized linear models. Topics covered include linear and logistic regression, simple and complex ANOVA models (for factorial, nested, block, split-plot and repeated measures and covariance designs), and log-linear models. Multivariate techniques, including classification and ordination, are then introduced. Special emphasis is placed on checking assumptions, exploratory data analysis and presentation of results. The main analyses are illustrated with many examples from published papers and there is an extensive reference list to both the statistical and biological literature. The book is supported by a website that provides all data sets, questions for each chapter and links to software. Seller Inventory # AAV9780521009768

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