Analysis Of Variance And Covariance - Doncaster C. Patrick; Davey Andrew J. H. | Libro Cambridge University Press 08/2007 - HOEPLI.it


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doncaster c. patrick; davey andrew j. h. - analysis of variance and covariance

Analysis of Variance and Covariance How to Choose and Construct Models for the Life Sciences

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Dettagli

Genere:Libro
Lingua: Inglese
Pubblicazione: 08/2007





Trama

Analysis of variance (ANOVA) is a core technique for analysing data in the Life Sciences. In this reference book, the gap between statistical theory and practical data analysis is bridged by presenting a comprehensive set of tables for all standard models of analysis of variance and covariance with up to three treatment factors. This book will serve as a tool to help post-graduates and professionals define their hypotheses, design appropriate experiments, translate them into a statistical model, validate the output from statistics packages and verify results. The systematic layout makes it easy for readers to identify which types of model best fit the themes they are investigating, and to evaluate the strengths and weaknesses of alternative experimental designs. In addition, a concise introduction to the principles of analysis of variance and covariance is provided, alongside worked examples illustrating issues and decisions faced by analysts.




Note Editore

Analysis of variance (ANOVA) is a core technique for analysing data in the Life Sciences. This reference book bridges the gap between statistical theory and practical data analysis by presenting a comprehensive set of tables for all standard models of analysis of variance and covariance with up to three treatment factors. The book will serve as a tool to help post-graduates and professionals define their hypotheses, design appropriate experiments, translate them into a statistical model, validate the output from statistics packages and verify results. The systematic layout makes it easy for readers to identify which types of model best fit the themes they are investigating, and to evaluate the strengths and weaknesses of alternative experimental designs. In addition, a concise introduction to the principles of analysis of variance and covariance is provided, alongside worked examples illustrating issues and decisions faced by analysts.




Sommario

Preface; Introduction to analysis of variance; Introduction to model structures; Part I. Model Structures: 1. One-factor designs; 2. Nested designs; 3. Fully replicated factorial designs; 4. Randomised block designs; 5. Split plot designs; 6. Repeated measures designs; 7. Unreplicated designs; Part II. Further Topics: 8. Further topics; 9. Choosing experimental designs; 10. Best practice in presentation of the design; 11. Troubleshooting problems during analysis; Glossary; Categories of model; Bibliography; Index of all ANOVA models with up to three factors; Index.




Prefazione

A concise introduction to the principles of analysis of variance and covariance with worked examples. It bridges the gap between statistical theory and practical data analysis by presenting a comprehensive set of tables for all standard models of analysis of variance and covariance. An essential reference for post-graduates and professionals.




Autore

C. PATRICK DONCASTER is a Reader in Ecology in the School of Biological Sciences at the University of Southampton.







Altre Informazioni

ISBN:

9780521865623

Condizione: Nuovo
Dimensioni: 235 x 19 x 159 mm Ø 607 gr
Formato: Copertina rigida
Illustration Notes:62 b/w illus. 95 tables
Pagine Arabe: 304






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