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010 a| 2010043284;

020 a| 9781118010648 (hardback);

020 a| 1118010647 (hardback);

035 a| (WaSeSS)ssj0000535680;

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049 a| EREEa| NEHH;

050 00 a| QA276.15b| .H83 2011;

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084 a| MAT0290002| bisacsh;

100 1 a| Huber, Peter J.=| ^A101167;

245 10 a| Data analysish| [electronic resource] :b| what can be learned from the past 50 years /c| Peter J. Huber.;

260 a| Hoboken, N.J. :b| Wiley,;

300 a| xiv, 210 p. :b| ill. ;c| 25 cm.;

490 0 a| Wiley series in probability and statistics;

504 a| Includes bibliographical references and index.;

506 a| Available only to authorized users.;

520 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.;

520 a| "This book explores the many provocative questions concerning the fundamentals of data analysis"--c| Provided by publisher.;

538 a| Mode of access: World Wide Web;

650 0 a| Mathematical statisticsx| History.=| ^A1005353;

650 0 a| Mathematical statisticsx| Philosophy.=| ^A5024;

650 0 a| Numerical analysisx| Methodology.=| ^A38;

655 0 a| Electronic books.=| ^A491897;

856 40 z| Full text available from Ebook Central - Academic Completeu| https://ebookcentral.proquest.com/lib/eastcarolina/detail.action?docID=700442;

947 a| (OCoLC)ocn669751135;

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Data analysis what can be learned from the past 50 years / Peter J. Huber.

Author/creator	Huber, Peter J.
Format	Electronic
Publication Info	Hoboken, N.J. : Wiley,
Description	xiv, 210 p. : ill. ; 25 cm.
Supplemental Content	Full text available from Ebook Central - Academic Complete
Subjects	Mathematical statistics--History. Mathematical statistics--Philosophy. Numerical analysis--Methodology.

Series	Wiley series in probability and statistics
Abstract	"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.
Abstract	"This book explores the many provocative questions concerning the fundamentals of data analysis"-- Provided by publisher.
Bibliography note	Includes bibliographical references and index.
Access restriction	Available only to authorized users.
Technical details	Mode of access: World Wide Web
Genre/form	Electronic books.
LCCN	2010043284
ISBN	9781118010648 (hardback)
ISBN	1118010647 (hardback)

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Data analysis what can be learned from the past 50 years / Peter J. Huber.

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