Exploring data tables, trends, and shapes
著者
書誌事項
Exploring data tables, trends, and shapes
（Wiley series in probability and mathematical statistics, . Applied probability and statistics）
Wiley, c1985
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
Presenting major advances in exploratory data analysis and robust regression methods not generally available, this book explains the techniques, relating them to classical methods. It covers the role of exploratory and robust techniques in the overall data-analytic enterprise. Also covered are new methods such as fitting by organized comparisons using the square combining table, resistant non-additive fits for two-way tables, identifying extreme cells in a sizable contingency table with probabilistic and exploratory approaches. The book features a chapter on using robust regression in less technical language than available elsewhere, and offers conceptual support for each technique.
目次
- Partial table of contents:
- Theories of Data Analysis: From Magical Thinking Through Classical Statistics (P. Diaconis).
- Fitting by Organized Comparisons: The Square Combining Table (K. Godfrey).
- Resistant Nonadditive Fits for Two--Way Tables (J. Emerson & G. Wong).
- Three--Way Analysis (N. Cook).
- Identifying Extreme Cells in a Sizable Contingency Table: Probabilistic and Exploratory Approaches (F. Mosteller & A. Parunak).
- Fitting Straight Lines By Eye (F. Mosteller, et al.).
- Resistant Multiple Regression, One Variable at a Time (J. Emerson & D. Hoaglin).
- Robust Regression (G. Li).
- Checking the Shape of Discrete Distributions (D. Hoaglin & J. Tukey).
- Using Quantiles to Study Shape (D. Hoaglin).
- Index.
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