Synopsis
This analysis of variance models provides a detailed and modern introduction to fixed, random and mixed effects of analysis of variance, including models, populations, hypotheses and assumptions.
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Review
"Intended as a text for an introductory analysis of variance service course, it requires little more than a precalculus understanding of probability, estimation, and hypothesis testing.... The student and practitioner will benefit from a well-balanced mixture of statistical theory, formulas, and explanations and the great care exercised by the authors in discussing properties and analysis of fixed, random, and mixed models in parallel.... The book employs several devices to aid readability.... In summary, the text is...a valuable source for the practitioner and nonstatistics major... It is well organized and well written at a difficulty level that precisely meets the target audience’s needs." ―JASA
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Search results for The Analysis of Variance: Fixed, Random and Mixed Models
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The Analysis of Variance
Published by
Birkhäuser Boston Jan 2000, 2000
ISBN 10: 3764340126
ISBN 13: 9783764340124
New
Hardcover
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - 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. 782 pp. Englisch. Seller Inventory # 9783764340124
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The Analysis of Variance
Print on DemandSeller: moluna, Greven, Germany
Seller rating 4 out of 5 stars
Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Inhaltsverzeichnis1. Introduction.- 1.0 Preview.- 1.1 Historical Developments.- 1.2 Analysis of Variance Models.- 1.3 Concept of Fixed and Random Effects.- 1.4 Finite and Infinite Populations.- 1.5 General and Generalized Linear Models.-. Seller Inventory # 5279049
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The Analysis of Variance | Fixed, Random and Mixed Models
Print on DemandSeller: preigu, Osnabrück, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. The Analysis of Variance | Fixed, Random and Mixed Models | Mohammed I. Ageel (u. a.) | Buch | Englisch | 2000 | Birkhäuser Boston | EAN 9783764340124 | Verantwortliche Person für die EU: Springer Nature c/o IBS, Benzstr. 21, 48619 Heek, tanja[dot]keller[at]springer[dot]com | Anbieter: preigu Print on Demand. Seller Inventory # 106805199
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The Analysis of Variance
Published by
Birkhäuser Boston, Birkhäuser Boston Jan 2000, 2000
ISBN 10: 3764340126
ISBN 13: 9783764340124
New
Hardcover
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Buch. 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. 782 pp. Englisch. Seller Inventory # 9783764340124
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The Analysis of Variance : Fixed, Random and Mixed Models
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Seller Inventory # 9783764340124