ISBN: 9780817632298 - Analysis of Variance for Random Models, Volume 2: Unbalanced Data: Theory, Methods, Applications, and Data Analysis (17 results)

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Condition: New. 2004. 2005 ed. Hardcover. ANOVA models involving random effects have found widespread application to experimental design in varied fields such as biology, econometrics, and engineering. This volume studies models with unbalanced data (non-orthogonal models). It is useful for graduating students, researchers, and practitioners. Num Pages: 506 pages, 60 black & white tables, biography. BIC Classification: PBT. Category: (G) General (US: Trade). Dimension: 235 x 155 x 28. Weight in Grams: 890. . . . . .…

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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Analysis of variance (ANOVA) models have become widely used tools and play a fundamental role in much of the application of statistics today. In particular, ANOVA models involving random effects have found widespread application to experimental design in a variety of fields requiring measurements of variance, including agriculture, biology, animal breeding, applied genetics, econometrics, quality control, medicine, engineering, and social sciences.This two-volume work is a comprehensive presentation of different methods and techniques for point estimation, interval estimation, and tests of hypotheses for linear models involving random effects. Both Bayesian and repeated sampling procedures are considered. Volume 1 examines models with balanced data (orthogonal models); Volume 2 studies models with unbalanced data (nonorthogonal models).Accessible to readers with only a modest mathematical and statistical background, the work will appeal to a broad audience of students, researchers, and practitioners in the mathematical, life, social, and engineering sciences. It may be used as a textbook in upper-level undergraduate and graduate courses, or as a reference for readers interested in the use of random effects models for data analysis.…

Condition: New. 2004. 2005 ed. Hardcover. ANOVA models involving random effects have found widespread application to experimental design in varied fields such as biology, econometrics, and engineering. This volume studies models with unbalanced data (non-orthogonal models). It is useful for graduating students, researchers, and practitioners. Num Pages: 506 pages, 60 black & white tables, biography. BIC Classification: PBT. Category: (G) General (US: Trade). Dimension: 235 x 155 x 28. Weight in Grams: 890. . . . . . Books ship from the US and Ireland.…

Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Systematic treatment of the commonly employed crossed and nested classification models used in analysis of variance designs with a detailed and thorough discussion of certain random effects models not commonly found in texts at the introductory or intermediate level. It also includes numerical examples to analyze data from a wide variety of disciplines as well as any worked examples containing computer outputs from standard software packages such as SAS, SPSS, and BMDP for each numerical example. 516 pp. Englisch.…

Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Systematic treatment of the commonly employed crossed and nested classification models used in analysis of variance designsDetailed and thorough discussion of certain random effects models not commonly found in texts at the introductory or interme.…

Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Analysis of variance (ANOVA) models have become widely used tools and play a fundamental role in much of the application of statistics today. In particular, ANOVA models involving random effects have found widespread application to experimental design in a variety of fields requiring measurements of variance, including agriculture, biology, animal breeding, applied genetics, econometrics, quality control, medicine, engineering, and social sciences.This two-volume work is a comprehensive presentation of different methods and techniques for point estimation, interval estimation, and tests of hypotheses for linear models involving random effects. Both Bayesian and repeated sampling procedures are considered. Volume 1 examines models with balanced data (orthogonal models); Volume 2 studies models with unbalanced data (nonorthogonal models).Accessible to readers with only a modest mathematical and statistical background, the work will appeal to a broad audience of students, researchers, and practitioners in the mathematical, life, social, and engineering sciences. It may be used as a textbook in upper-level undergraduate and graduate courses, or as a reference for readers interested in the use of random effects models for data analysis.Springer Nature c/o IBS, Benzstrasse 21, 48619 Heek 508 pp. Englisch.…