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Data Analysis for Scientists and Engineers
Hardback
Main Details
Title |
Data Analysis for Scientists and Engineers
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Authors and Contributors |
By (author) Edward L. Robinson
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Physical Properties |
Format:Hardback | Pages:408 | Dimensions(mm): Height 254,Width 203 |
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Category/Genre | General Engineering - general |
ISBN/Barcode |
9780691169927
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Classifications | Dewey:507.21 |
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Audience | Tertiary Education (US: College) | Professional & Vocational | |
Illustrations |
96 line illus. 7 tables.
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Publishing Details |
Publisher |
Princeton University Press
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Imprint |
Princeton University Press
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Publication Date |
4 October 2016 |
Publication Country |
United States
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Description
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 w
Author Biography
Edward L. Robinson is the William B. Blakemore II Regents Professor of Astronomy at the University of Texas, Austin.
Reviews"Robinson's text is an excellent overview of modern statistical techniques and is sure to become a definitive reference. He ably and concisely presents all of the necessary foundational mathematics while also providing a thorough description of sophisticated methods used by practicing engineers and scientists. I particularly enjoyed the division of the book into frequentist and Bayesian approaches and Robinson's clear discussion of the relative merits of each method."-Jeremy Kasdin, Princeton University "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
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