02625cam a22003734a 4500 16497764 BD-DhUL 20140909111321.0 101012s2011 njua b 001 0 eng 2010043284 9781118010648 (hardback) 1118010647 (hardback) (OCoLC)ocn669751135 DLC DLC YDX BTCTA YDXCP BWX CDX DLC BD-DhUL pcc QA276.15 .H83 2011 519.509 HUD 22 MAT029000 bisacsh Huber, Peter J. Data analysis : what can be learned from the past 50 years / Peter J. Huber. Hoboken, N.J. : Wiley, c2011. xiv, 210 p. : ill. ; 25 cm. USD 98.96 Wiley series in probability and statistics Includes bibliographical references and index. "This book explores the many provocative questions concerning the fundamentals of data analysis. It is based on the time-tested experience of one of the gurus of the subject matter. Why should one study data analysis? How should it be taught? What techniques work best, and for whom? How valid are the results? How much data should be tested? Which machine languages should be used, if used at all? Emphasis on apprenticeship (through hands-on case studies) and anecdotes (through real-life applications) are the tools that Peter J. Huber uses in this volume. Concern with specific statistical techniques is not of immediate value; rather, questions of strategy - when to use which technique - are employed. Central to the discussion is an understanding of the significance of massive (or robust) data sets, the implementation of languages, and the use of models. Each is sprinkled with an ample number of examples and case studies. Personal practices, various pitfalls, and existing controversies are presented when applicable. The book serves as an excellent philosophical and historical companion to any present-day text in data analysis, robust statistics, data mining, statistical learning, or computational statistics"--Provided by publisher. "This book explores the many provocative questions concerning the fundamentals of data analysis"-- Provided by publisher. Mathematical statistics History. Mathematical statistics Philosophy. Numerical analysis Methodology. 7 cbc orignew 1 ecip 20 y-gencatlg ddc BK re04 2010-10-12 re04 2010-10-12 ONIX Science tc12 2011-06-09 1 copy rec'd., to CIP ver. 9076 9076 0 0 ddc 0 519_509000000000000_HUD 0 NFIC 16025 DUSL DUSL GEN 2012-10-07 Purchased 519.509 HUD 475625 2014-09-09 2014-09-09 BK