Understanding robust exploratory data (37 résultats)

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Hardcover. Etat : Very Good. Etat de la jaquette : Very Good. 1st Edition. dj w/lite wear only, in mylar; black c w/gilt titles; 447 clean, unmarked pages/index.a classic statistics text explains how to inspect data, find patterns, and use resistant statistical methods that are not ruined by unusual values, Tools like stem-and-leaf displays, boxplots, and letter values to look at data first.Methods to change data scales so they show symmetry or straight lines, fitting lines and two-way tables using medians so outliers do not skew the results, & advanced ways to measure the middle (location) and spread (scale) of data using tools like trimmed means and M-estimators. graphs, formulae (illustrateur).…

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Etat : New. This text explains the necessity for and uses of both exploratory data analysis and robust and resistant methods in statistical practice. Edited by pre-eminent statisticians, it provides the conceptual, logical, and sometimes mathematical support for the more basic techniques of these methods. Editor(s): Hoaglin, David C.; Mosteller, Frederick; Tukey, John Wilder; John W. Tukey (Professor Emeritus, Princeton University, USA). Series: Wiley Classics Library. Num Pages: 472 pages, Illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 231 x 152 x 28. Weight in Grams: 661. . 2000. 1st Edition. Paperback. . . . .…

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