Introduction To Experimental Design And Statistics For Biology


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An Introduction To Experimental Design And Statistics For Biology


An Introduction To Experimental Design And Statistics For Biology

Author: David Heath

language: en

Publisher: CRC Press

Release Date: 1995-10-26


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This illustrated textbook for biologists provides a refreshingly clear and authoritative introduction to the key ideas of sampling, experimental design, and statistical analysis. The author presents statistical concepts through common sense, non-mathematical explanations and diagrams. These are followed by the relevant formulae and illustrated by w

An Introduction To Experimental Design And Statistics For Biology


An Introduction To Experimental Design And Statistics For Biology

Author: David Heath

language: en

Publisher: CRC Press

Release Date: 1995-10-26


DOWNLOAD





This illustrated textbook for biologists provides a refreshingly clear and authoritative introduction to the key ideas of sampling, experimental design, and statistical analysis. The author presents statistical concepts through common sense, non-mathematical explanations and diagrams. These are followed by the relevant formulae and illustrated by w

Experimental Design and Data Analysis for Biologists


Experimental Design and Data Analysis for Biologists

Author: Gerald Peter Quinn

language: en

Publisher: Cambridge University Press

Release Date: 2002-03-21


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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.