The analysis of variance models have become one of the most widely used tools of modern statistics for analyzing multi-factor data. This book provides a detailed and thorough introduction to fixed, random and mixed effects analysis of variance, covering all the important models. The book will be a valuable reference for professionals and students in the biological, physical, social, engineering and management sciences.
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"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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Most Helpful Customer Reviews
17 of 18 people found the following review helpful:
5.0 out of 5 stars
A Good Book At Last,
By Dr. M.M. Ojeda (Mexico) - See all my reviews
This review is from: Analysis of Variance: Fixed, Random and Mixed Models (Hardcover)
This is the most comprehensive and up-to-date treatment of the analysis of variance models I have seen since the publication of the book by Henry Scheffe (1959) which is somewhat out of date. The mathematical and statistical prerequisites of Sahai and Ageel book are just about right for students in substantive fields who wish to take this course after completing one/two semester course in statistical inference. The book is well written and user friendly and contains a large number of worked examples and exercises which have been very helpful to me in assigning homework to my students. The coverage of SAS, SPSS and BMDP packages for performing analysis greatly enhances the practical usefulness of the book beyond any measure. The inclusion of a large number of appendices as review material and up-to-date and complete bibliography including a comprehensive set of statistical tables have immensely increased the reference value of the text. The authors deserve my most sincere and heartiest congratulations. I have prepared a more extensive and complete cirtique of the book for my students which can be obtained by writing to me. Dr. M.M. Ojeda Vice President of the Academic Affairs, University of Veracruz, Xalapa, Mexico.
1 of 1 people found the following review helpful:
5.0 out of 5 stars
readable!!,
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This review is from: Analysis of Variance: Fixed, Random and Mixed Models (Hardcover)
This is the right book to use when you start studying Anova models.
(after obtaining the right prerequisites) Unlike many books on Anova out there this book is highly readable. It presents the ideas and techniques behind Anova in a clear and cohesive manner. As an applied stat. phd student I have come across may books on Anova and this one strikes the perfect balance between intuition and rigorous statistics. Wish I had come across this book earlier.
2 of 3 people found the following review helpful:
5.0 out of 5 stars
A Good Book At Last,
By Dr. M.M. Ojeda (Mexico) - See all my reviews
This review is from: Analysis of Variance: Fixed, Random and Mixed Models (Hardcover)
This is the most comprehensive and up-to-date treatment of the analysis of variance models I have seen since the publication of the book by Henry Scheffe (1959) which is somewhat out of date. The mathematical and statistical prerequisites of Sahai and Ageel book are just about right for students in substantive fields who wish to take this course after completing one/two semester course in statistical inference. The book is well written and user friendly and contains a large number of worked examples and exercises which have been very helpful to me in assigning homework to my students. The coverage of SAS, SPSS and BMDP packages for performing analysis greatly enhances the practical usefulness of the book beyond any measure. The inclusion of a large number of appendices as review material and up-to-date and complete bibliography including a comprehensive set of statistical tables have immensely increased the reference value of the text. The authors deserve my most sincere and heartiest congratulations. I have prepared a more extensive and complete cirtique of the book for my students which can be obtained by writing to me. Dr. M.M. Ojeda Vice President of the Academic Affairs, University of Veracruz, Xalapa, Mexico.
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Inside This Book
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First Sentence:
The variation among physical observations is a common characteristic of all scientific measurements. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
customary error term, design subcommand, expected mean square column, certain standard units, desired critical value, quadratic term involving effects, using manual computations, involving unequal sample sizes, mixed effects analysis, mathematical model for this experiment, percent simultaneous confidence interval, different interaction effects, studentized maximum modulus distribution, definitional formulae, designed wherein, finite population models, full factorial model, selected percentage points, assumptions for the experiment, expected mean squares, fixed effects analysis, appropriate mean square, subplot error, random effects analysis, computational formulae Key Phrases - Capitalized Phrases (CAPs): (learn more)
Squares Square, Appendix Table, Source Type, General Linear Models Procedure, Source Var, Denominator Denominator, Adjusted R-Squared, Appendix Chart, Effects Power, Total R-Square, Treatment Block, Analysis of Variance-Design, Column Row, Cell Factor, Corrected Total, Interactions Power, Responses of Monkeys, Tess of Hypotheses New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
The variation among physical observations is a common characteristic of all scientific measurements. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
customary error term, design subcommand, expected mean square column, certain standard units, desired critical value, quadratic term involving effects, using manual computations, involving unequal sample sizes, mixed effects analysis, mathematical model for this experiment, percent simultaneous confidence interval, different interaction effects, studentized maximum modulus distribution, definitional formulae, designed wherein, finite population models, full factorial model, selected percentage points, assumptions for the experiment, expected mean squares, fixed effects analysis, appropriate mean square, subplot error, random effects analysis, computational formulae Key Phrases - Capitalized Phrases (CAPs): (learn more)
Squares Square, Appendix Table, Source Type, General Linear Models Procedure, Source Var, Denominator Denominator, Adjusted R-Squared, Appendix Chart, Effects Power, Total R-Square, Treatment Block, Analysis of Variance-Design, Column Row, Cell Factor, Corrected Total, Interactions Power, Responses of Monkeys, Tess of Hypotheses New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 100
books:
See all 100 books this book cites
1
book
cites this book:
- Encyclopedia of Statistical Sciences by Campbell B. Read on 5 pages
- The Design of Experiments by Ronald A. Fisher on 4 pages
- Biometrika Tables for Statisticians by E. S. Pearson in Back Matter (1), Back Matter (2), and Back Matter (3)
- Design of Experiments (Statistics: A Series of Textbooks and Monographs) by Virgil L. Anderson in Back Matter (1), Back Matter (2), and Back Matter (3)
- Data Analysis (New Topics for Secondary School Mathematics) by Nc School of Sci and Math in Back Matter (1), Back Matter (2), and Back Matter (3)
See all 100 books this book cites
- Statistical Group Comparison (Wiley Series in Probability and Statistics) by Tim Futing Liao in Back Matter
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