02329cam a22002774a 4500008004100000020001800041020001500059040000800074050002300082100002800105245008300133260003500216300001900251490004700270505001700317518001500334520125300349520010301602650004601705650004901751650004501800900001401845942001301859999001901872952016001891101012s2011    njua     b    001 0 eng    a9781118010648  a1118010647  aSDU00aQA276bH877 D 20111 aHuber, Peter J.919327010aData analysis :bwhat can be learned from the past 50 years /cPeter J. Huber.  aHoboken, N.J. :bWiley,c2011.  a210 p. :bill.0 aWiley series in probability and statistics  aHKBU library  aYT2025 M10  a"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.  a"This book explores the many provocative questions concerning the fundamentals of data analysis"-- 0aMathematical statisticsxHistory.9193271 0aMathematical statisticsxPhilosophy.9193272 0aNumerical analysisxMethodology.9193273  a= C.1 SDU  cGBE2lcc  c104010d104010  00102lcc406QA0276 H877 D2011708CGB9283737aSDUbSDUcGEN3d2025-10-02e2l0oQA276 H877 D 2011p1000377914r2025-10-02 00:00:00tC.1w2025-10-02yGBE