Exploring data tables, trends, and shapes / edited by David C. Hoaglin, Frederick Mosteller, John W. Tukey.
Series Wiley series in probability and mathematical statisticsApplied probability and statisticsEditor: New York : Wiley, c1985Descripción: xxii, 527 p. : il. ; 24 cmISBN: 0471097764Tema(s): Mathematical statisticsOtra clasificación: 62H17 (62-07) Recursos en línea: Publisher descriptionTheories 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)Summarizing shape numerically: the $g$-and-$h$ distributions (David C. Hoaglin).
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Instituto de Matemática, CONICET-UNS | Libros ordenados por tema | 62 Ex96 (Browse shelf) | Available | A-7477 |
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Includes bibliographies e índice.
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) -- Summarizing shape numerically: the $g$-and-$h$ distributions (David C. Hoaglin).
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