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Experimental design and data analysis for biologists

£17.99

Product description

An essential textbook for any biologist needing to design experiments, sample programs or analyse the resulting data. Worked examples are used to illustrate the analyses and an extensive reference list provides links to the relevant biological and statistical literature. A supporting website contains datasets, questions and software links. 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.

In very good used condition.

Item details

Author(s):
Gerry P. Quinn and Michael J. Keough
Condition:
Used: very good
Dimensions:
190 mm x 250 mm x 1360 g
Edition:
2003
Format:
Paperback
ISBN-10:
0521009766
ISBN-13:
9780521009768
Number of pages:
537
Publisher:
Cambridge University Press
Title:
Experimental design and data analysis for biologists

Standard UK Delivery £3.95 per order

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About this item

An essential textbook for any biologist needing to design experiments, sample programs or analyse the resulting data. Worked examples are used to illustrate the analyses and an extensive reference list provides links to the relevant biological and statistical literature. A supporting website contains datasets, questions and software links. 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.

In very good used condition.

Author(s):
Gerry P. Quinn and Michael J. Keough
Condition:
Used: very good
Dimensions:
190 mm x 250 mm x 1360 g
Edition:
2003
Format:
Paperback
ISBN-10:
0521009766
ISBN-13:
9780521009768
Number of pages:
537
Publisher:
Cambridge University Press
Title:
Experimental design and data analysis for biologists

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