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Peter J. Huber - Data Analysis: What Can Be Learned From the Past 50 Years - 9781118010648 - V9781118010648
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Data Analysis: What Can Be Learned From the Past 50 Years

€ 148.35
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Description for Data Analysis: What Can Be Learned From the Past 50 Years Hardcover. This book explores the historical and philosophical implications inherent in any study of statistical data analysis. It addresses the needs of researchers who are working with larger, complicated data sets by offering an understanding of the significance of robust data sets, the implementation of software languages, and the use of models. Series: Wiley Series in Probability and Statistics. Num Pages: 234 pages, Illustrations. BIC Classification: PB. Category: (P) Professional & Vocational. Dimension: 235 x 163 x 17. Weight in Grams: 464.
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 ... Read more

Product Details

Format
Hardback
Publication date
2011
Publisher
John Wiley & Sons Inc United States
Number of pages
234
Condition
New
Series
Wiley Series in Probability and Statistics
Number of Pages
234
Place of Publication
New York, United States
ISBN
9781118010648
SKU
V9781118010648
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50

About Peter J. Huber
Peter J. Huber, PhD, is a world-renowned statistician who has published four books and more than seventy journal articles in the areas of statistics and data analysis. He has held academic positions at Harvard University, Massachusetts Institute of Technology, Cornell University, and ETH Zurich (Switzerland), and has made significant research contributions in the areas of robust statistics, computational statistics, and ... Read more

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