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• catalog abstract "Publisher Description (unedited publisher data) An essential textbook for any student or researcher in biology needing to design experiments, sampling 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 web-site that provides all data sets, questions for each chapter and links to software.".
• catalog contributor b12508305.
• catalog contributor b12508306.
• catalog created "2002.".
• catalog date "2002".
• catalog date "2002.".
• catalog dateCopyrighted "2002.".
• catalog description "Includes bibliographical references (p. [511]-526) and index.".
• catalog description "Introduction -- Estimation -- Hypothesis testing -- Graphical exploration of data -- Correlation and regression -- Multiple and complex regression -- Design and power analysis -- Comparing groups or treatments : analysis of variance -- Multifactor analysis of variance -- Randomized blocks and simple repeated measures : unreplicated two factor designs -- Split-plot and repeated measures designs : partly nested analyses of variance -- Analyses of covariance -- Generalized linear models and logistic regression -- Analyzing frequencies -- Introduction to multivariate analyses -- Multivariate analysis of variance and discriminant analysis -- Principal components and correspondence analysis -- Multidimensional scaling and cluster analysis -- Presentation of results.".
• catalog description "Publisher Description (unedited publisher data) An essential textbook for any student or researcher in biology needing to design experiments, sampling 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 web-site that provides all data sets, questions for each chapter and links to software.".
• catalog extent "xvii, 537 p. :".
• catalog identifier "0521009766 (pbk.)".
• catalog identifier "0521811287".
• catalog issued "2002".
• catalog issued "2002.".
• catalog language "eng".
• catalog publisher "Cambridge, UK ; New York : Cambridge University Press,".
• catalog subject "570/.1/5195 21".
• catalog subject "Biometry.".
• catalog subject "QH323.5 .Q85 2002".
• catalog tableOfContents "Introduction -- Estimation -- Hypothesis testing -- Graphical exploration of data -- Correlation and regression -- Multiple and complex regression -- Design and power analysis -- Comparing groups or treatments : analysis of variance -- Multifactor analysis of variance -- Randomized blocks and simple repeated measures : unreplicated two factor designs -- Split-plot and repeated measures designs : partly nested analyses of variance -- Analyses of covariance -- Generalized linear models and logistic regression -- Analyzing frequencies -- Introduction to multivariate analyses -- Multivariate analysis of variance and discriminant analysis -- Principal components and correspondence analysis -- Multidimensional scaling and cluster analysis -- Presentation of results.".
• catalog title "Experimental design and data analysis for biologists / Gerry P. Quinn, Michael J. Keough.".
• catalog type "text".