The Analysis of Variance : Fixed, Random and Mixed Models

Mohammed I. Ageel

ISBN 10: 3764340126 / ISBN 13: 9783764340124

Published by Birkhäuser Boston, 2000

About this Item

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

Bibliographic Details

• Title: The Analysis of Variance : Fixed, Random and Mixed Models
• Publisher: Birkhäuser Boston
• Publication Date: 2000
• Language: English
• ISBN 10: 3764340126
• ISBN 13: 9783764340124
• Binding: Buch
• Condition: Neu
• Dimensions: 241W x 160H x 47D millimeters 241 millimeters width by 160 millimeters height by 47 millimeters depth
• Weight: 1323 grams

About this title

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.

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