Fundamentals of Exploratory Analysis of Variance
1st Edition
Published on 3. October 1991
Book
Hardback
464 pages
978-0-471-52735-0 (ISBN)
Description
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.
More details
Series
Language
English
Place of publication
United States
Publishing group
John Wiley & Sons Inc
Target group
College/higher education
Professional and scholarly
Product notice
sewn/stitched
Cloth over boards
Dimensions
Height: 243 mm
Width: 163 mm
Thickness: 27 mm
Weight
803 gr
ISBN-13
978-0-471-52735-0 (9780471527350)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
David C. Hoaglin | Frederick Mosteller | John W. Tukey
Fundamentals of Exploratory Analysis of Variance
E-Book
11/2009
Wiley
€211.99
Available for download
Persons
DAVID C. HOAGLIN, PhD, is a Fellow of the American Statistical Association.
FREDERICK MOSTELLER, PhD, has been the recipient of several honorary degrees and is a former President of the American Statistical Association.
JOHN W. TUKEY, PhD, has received the National Medal of Science as well as several honorary degrees.
FREDERICK MOSTELLER, PhD, has been the recipient of several honorary degrees and is a former President of the American Statistical Association.
JOHN W. TUKEY, PhD, has received the National Medal of Science as well as several honorary degrees.
Content
Concepts 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.
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.