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Fundamentals of exploratory analysis of variance

"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 s...

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Bibliographic Details
Group Author: Hoaglin, David C. David Caster, 1944; Mosteller, Frederick, 1916-2006; Tukey, John W. John Wilder, 1915-2000
Published: Wiley,
Publisher Address: New York :
Publication Dates: [2008]
©1991
Literature type: Electronic eBook
Language: English
Series: Wiley series in probability and mathematical statistics. Applied probability and statistics,
Subjects:
Analysis of variance
Analyse de variance
MATHEMATICS > Probability & Statistics > General
Variantieanalyse
Multivariate analysis
Electronic books
Online Access: http://onlinelibrary.wiley.com/book/10.1002/9780470316832
Summary: "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"--Publisher's website.
Carrier Form: 1 online resource (xvii, 430 pages) : illustrations.
Bibliography: Includes bibliographical references and index.
ISBN: 9780470316832
0470316837
9780470317662 (electronic bk.)
0470317663 (electronic bk.)
1282307770
9781282307773
Index Number: QA279
CLC: O212
Contents: Concepts and examples in analysis of variance -- Purposes of analyzing data that come in a form inviting us to apply tools from the analysis of variance -- Preliminary examination of data -- Types of factors and their structural layouts -- Value splitting: taking the data apart -- Value splitting involving more factors -- Mean squares, F tests, and estimates of variance -- Graphical display as an aid to analysis -- Components of variance -- Which denominator? -- Assessing changes -- Qualitative and quantitative confidence -- Introduction to Transformation.

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