Understanding Robust Exploratory Data (37 results)

gebundene Ausgabe. Condition: Gut. 447 Seiten Das Buch befindet sich in einem gut erhaltenen Zustand. Original-Schutzumschlag vorhanden (siehe Foto). In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 810.

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Hardcover. Condition: Very Good. Dust Jacket Condition: 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 (illustrator).…

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Condition: 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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