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Data Analysis for Scientists and Engineers

(Hardback)


Publishing Details

Full Title:

Data Analysis for Scientists and Engineers

Contributors:

By (Author) Edward L. Robinson

ISBN:

9780691169927

Publisher:

Princeton University Press

Imprint:

Princeton University Press

Publication Date:

2nd January 2017

Country:

United States

Classifications

Readership:

Tertiary Education

Fiction/Non-fiction:

Non Fiction

Other Subjects:

Science: general issues
Engineering: general

Dewey:

507.21

Physical Properties

Physical Format:

Hardback

Number of Pages:

408

Dimensions:

Width 203mm, Height 254mm

Weight:

1219g

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

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

Author Bio

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

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