Analysis of Variance and Covariance: How to Choose and Construct Models for the Life Sciences - Softcover
Synopsis
A concise, systematic introduction to the principles of analysis of variance for post-graduates and professionals.
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About the Author
C. PATRICK DONCASTER is a Reader in Ecology in the School of Biological Sciences at the University of Southampton.
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Analysis of Variance and Covariance: How to Choose and Construct Models for the Life Sciences
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Cambridge University Press, 2007
ISBN 10: 0521684471
ISBN 13: 9780521684477
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ANALYSIS OF VARIANCE AND COVARIANCE: HOW TO CHOOSE AND CONSTRUCT MODELS FOR THE LIFE SCIENCES
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Cambridge University Press, 2007
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ISBN 13: 9780521684477
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Analysis of Variance and Covariance
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Cambridge University Press, 2007
ISBN 10: 0521684471
ISBN 13: 9780521684477
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Analysis of Variance and Covariance: How to Choose and Construct Models for the Life Sciences
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Paperback. Condition: Brand New. 1st edition. 286 pages. 8.75x6.00x0.75 inches. In Stock. This item is printed on demand. Seller Inventory # __0521684471
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Analysis of Variance and Covariance: How to Choose and Construct Models for the Life Sciences
Published by
Cambridge University Press, 2007
ISBN 10: 0521684471
ISBN 13: 9780521684477
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Analysis of Variance and Covariance (How to Choose and Construct Models for the Life Sciences)
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Cambridge University Press, 2007
ISBN 10: 0521684471
ISBN 13: 9780521684477
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Analysis of Variance and Covariance
Published by
Cambridge University Press, 2007
ISBN 10: 0521684471
ISBN 13: 9780521684477
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Analysis of Variance and Covariance: How to Choose and Construct Models for the Life Sciences
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Cambridge University Press 2007-08-30, 2007
ISBN 10: 0521684471
ISBN 13: 9780521684477
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Analysis of Variance and Covariance (Paperback)
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Cambridge University Press, Cambridge, 2007
ISBN 10: 0521684471
ISBN 13: 9780521684477
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Paperback. Condition: new. Paperback. 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. 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780521684477