ANOVA models involving random effects have found widespread application to experimental design in varied fields such as biology, econometrics, and engineering. Volume I of this two-part work is a comprehensive presentation of methods and techniques for point estimation, interval estimation, and hypotheses tests for linear models involving random effects. Volume I examines models with balanced data (orthogonal models); Volume II studies models with unbalanced data (non-orthogonal models).
Accessible to readers with a modest mathematical and statistical background, the work will appeal to a broad audience of graduate students, researchers, and practitioners. It can be used as a graduate text or as a self-study reference.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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Buch. Etat : 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. N° de réf. du vendeur 9780817632298
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Etat : 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. . . . . . N° de réf. du vendeur V9780817632298
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