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Edward L. Robinson - Data Analysis for Scientists and Engineers - 9780691169927 - KJH0000368
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Data Analysis for Scientists and Engineers

€ 8.04
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Description for Data Analysis for Scientists and Engineers hardcover. Num Pages: 408 pages, 96 line illus. 7 tables. BIC Classification: GPH; PD; TBC. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 212 x 262 x 30. Weight in Grams: 1186.
Data Analysis for Scientists and Engineers is a modern, graduate-level text on data analysis techniques for physical science and engineering students as well as working scientists and engineers. Edward Robinson emphasizes the principles behind various techniques so that practitioners can adapt them to their own problems, or develop new techniques when necessary. Robinson divides the book into three sections. The first section covers basic concepts in probability and includes a chapter on Monte Carlo methods with an extended discussion of Markov chain Monte Carlo sampling. The second section introduces statistics and then develops tools for fitting models to data, comparing ... Read more

Product Details

Format
Hardback
Publication date
2016
Publisher
Princeton University Press
Condition
New
Number of Pages
408
Place of Publication
New Jersey, United States
ISBN
9780691169927
SKU
KJH0000368
Shipping Time
Usually ships in 2 to 4 working days
Ref
99-1

About Edward L. Robinson
Edward L. Robinson is the William B. Blakemore II Regents Professor of Astronomy at the University of Texas, Austin.

Reviews for Data Analysis for Scientists and Engineers
With an accessible and consistent style, Data Analysis for Scientists and Engineers stands out for its depth of materials and pedagogical presentation. Building from simple concepts, the book's mathematical rigor and accuracy are solid and logical. This book is appropriate for senior undergraduates, graduate students at all levels, and practicing scientists.
Wade Fisher, Michigan State University Robinson's text is ... Read more

Goodreads reviews for Data Analysis for Scientists and Engineers


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