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Wiley Series in Probability and Statistics Ser.: Fundamentals of Exploratory Analysis of Variance by Frederick Mosteller (1991, Hardcover)
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About this product
Product Identifiers
PublisherWiley & Sons, Incorporated, John
ISBN-100471527351
ISBN-139780471527350
eBay Product ID (ePID)399832
Product Key Features
Number of Pages464 Pages
Publication NameFundamentals of Exploratory Analysis of Variance
LanguageEnglish
Publication Year1991
SubjectProbability & Statistics / General
TypeTextbook
Subject AreaMathematics
AuthorFrederick Mosteller
SeriesWiley Series in Probability and Statistics Ser.
FormatHardcover
Dimensions
Item Height1 in
Item Weight24.7 Oz
Item Length9.5 in
Item Width6.3 in
Additional Product Features
Intended AudienceScholarly & Professional
LCCN91-002407
Dewey Edition20
Series Volume Number261
IllustratedYes
Dewey Decimal519.538
Table Of ContentConcepts and Examples in Analysis of Variance (J. Tukey, etal.). Purposes of Analyzing Data that Come in a Form Inviting Us to ApplyTools from the Analysis of Variance (F. Mosteller & J.Tukey). Preliminary Examination of Data (F. Mosteller & D.Hoaglin). Types of Factors and Their Structural Layouts (J. Singer). Value-Splitting: Taking the Data Apart (C. Schmid). Value-Splitting Involving More Factors (K. Halvorsen). Mean Squares, F Tests, and Estimates of Variance (F. Mosteller, etal.). Graphical Display as an Aid to Analysis (J. Emerson). Components of Variance (C. Brown & F. Mosteller). Which Denominator? (T. Blackwell, et al.). Assessing Changes (J. Tukey, et al.). Qualitative and Quantitative Confidence (J. Tukey & D.Hoaglin). Introduction to Transformation (J. Emerson). Appendix. Index.
SynopsisThis text approaches the analysis of variance (ANOVA) from an exploratory point of view while retaining customary least squares fitting methods. The authors go beyond the standard steps of the ANOVA table to emphasize both the individual observations and the separate parts that the analysis produces., The analysis of variance is presented as an exploratory component of data analysis, while retaining the customary least squares fitting methods. Balanced data layouts are used to reveal key ideas and techniques for exploration. The approach emphasizes both the individual observations and the separate parts that the analysis produces. Most chapters include exercises and the appendices give selected percentage points of the Gaussian, t, F chi-squared and studentized range distributions., The analysis of variance is presented as an exploratory component of data analysis, while retaining the customary least squares fitting methods. Balanced data layouts are used to reveal key ideas and techniques for exploration. The approach emphasizes both the individual observations and the separate parts that the analysis produces.
LC Classification NumberQA279.F86 1991
