04705cam a2200817Ia 4500 ocn727106414 OCoLC 20171119084612.0 m o d cr mn||||||||| 110516s2011 njua ob 001 0 eng d 9781118018248 (electronic bk.) 1118018249 (electronic bk.) 9781118018262 1118018265 (E-Book) 9781118018255 (electronic bk.) 1118018257 (electronic bk.) 128310931X 9781283109314 9781118010648 (hardback) 1118010647 (hardback) AU@ 000050155687 AU@ 000052900462 AU@ 000053276310 CHNEW 000721279 DEBBG BV041910418 DEBSZ 37272941X DEBSZ 378282948 DEBSZ 379320282 DEBSZ 397000979 DEBSZ 425884031 DEBSZ 430995881 GBVCP 790033941 NZ1 14258172 NZ1 15340688 DEBBG BV043393114 (OCoLC)727106414 (OCoLC)741451791 (OCoLC)746324256 (OCoLC)811499507 (OCoLC)812411460 (OCoLC)816841597 (OCoLC)818105428 (OCoLC)961634120 (OCoLC)962690446 CL0500000169 Safari Books Online YDXCP eng pn YDXCP E7B CDX OSU N$T OCLCQ GZM REDDC OCLCQ UMI OCLCQ DEBSZ OCLCQ COO OCLCO OCLCQ S4S IDEBK DG1 MHW OCLCO DEBBG EBLCP OCLCQ OCLCO OCLCQ OCLCO OCLCQ OCLCO MAIN QA276.15 .H83 2011 MAT 029000 bisacsh 519.509 22 MAT029000 bisacsh Huber, Peter J. Data analysis : what can be learned from the past 50 years / Peter J. Huber. [electronic resource] Hoboken, N.J. : Wiley, ©2011. 1 online resource (xiv, 210 pages) : illustrations. text txt rdacontent computer c rdamedia online resource cr rdacarrier Wiley series in probability and statistics Includes bibliographical references and index. What Is Data Analysis? -- Strategy Issues in Data Analysis -- Massive Data Sets -- Languages for Data Analysis -- Approximate Models -- Pitfalls -- Create Order in Data -- More Case Studies -- Wiley Series in Probability and Statistics. "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. Print version record. Mathematical statistics History. Mathematical statistics Philosophy. Numerical analysis Methodology. Mathematical statistics History. Mathematical statistics Philosophy. Numerical analysis Methodology. MATHEMATICS Probability & Statistics General. bisacsh Electronic books. Electronic books. Print version: Huber, Peter J. Data analysis. Hoboken, N.J. : Wiley, ©2011 9781118010648 (DLC) 2010043284 (OCoLC)669751135 Wiley series in probability and statistics. http://onlinelibrary.wiley.com/book/10.1002/9781118018255 Wiley Online Library ddc BK 205057 205057