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Analysis Variance Fixed Random by Sahai Hardeo (22 results)
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hardcover. Condition: Acceptable. Connecting readers with great books since 1972. Used textbooks may not include companion materials such as access codes, etc. May have condition issues including wear and notes/highlighting. We ship orders daily and Customer Service is our top priority!
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hardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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The Analysis of Variance: Fixed, Random and Mixed Models
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The Analysis of Variance: Fixed, Random and Mixed Models
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Analysis of Variance : Fixed, Random and Mixed Models
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Analysis of Variance : Fixed, Random and Mixed Models
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The Analysis of Variance: Fixed, Random and Mixed Models
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Add to basketCondition: New. 2000. Hardcover. . . . . .
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The Analysis of Variance: Fixed, Random and Mixed Models
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
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Add to basketHardcover. Condition: Brand New. 1st edition. 742 pages. 9.50x6.50x1.50 inches. In Stock.
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Condition: New. 2012. Paperback. . . . . . Books ship from the US and Ireland.
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Analysis of Variance : Fixed, Random and Mixed Models
Published by Birkhäuser Boston Feb 2000, 2000
ISBN 10: 0817640126 ISBN 13: 9780817640125
Language: English
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Add to basketBuch. Condition: Neu. Neuware - The analysis of variance (ANOYA) models have become one of the most widely used tools of modern statistics for analyzing multifactor data. The ANOYA models provide versatile statistical tools for studying the relationship between a dependent variable and one or more independent variables. The ANOYA mod els are employed to determine whether different variables interact and which factors or factor combinations are most important. They are appealing because they provide a conceptually simple technique for investigating statistical rela tionships among different independent variables known as factors. Currently there are several texts and monographs available on the sub ject. However, some of them such as those of Scheffe (1959) and Fisher and McDonald (1978), are written for mathematically advanced readers, requiring a good background in calculus, matrix algebra, and statistical theory; whereas others such as Guenther (1964), Huitson (1971), and Dunn and Clark (1987), although they assume only a background in elementary algebra and statistics, treat the subject somewhat scantily and provide only a superficial discussion of the random and mixed effects analysis of variance.
