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Edward L. Robins Data Analysis for Scientists and Enginee (Hardback) (UK IMPORT)

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Item specifics

Condition
Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
Book Title
Data Analysis for Scientists and Engineers
Publication Name
Data Analysis for Scientists and Engineers
Title
Data Analysis for Scientists and Engineers
Author
Edward L. Robinson
Format
Hardcover
ISBN-10
0691169926
EAN
9780691169927
ISBN
9780691169927
Publisher
Princeton University Press
Genre
Science Nature & Math
Topic
Technology & Engineering
Release Date
04/10/2016
Release Year
2016
Language
English
Country/Region of Manufacture
US
Item Height
1.2in
Item Length
10.1in
Item Weight
43.1 Oz
Publication Year
2016
Type
Textbook
Item Width
8.4in
Number of Pages
408 Pages

About this product

Product Information

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 and contrasting techniques from both frequentist and Bayesian perspectives. The final section is devoted to methods for analyzing sequences of data, such as correlation functions, periodograms, and image reconstruction. While it goes beyond elementary statistics, the text is self-contained and accessible to readers from a wide variety of backgrounds. Specialized mathematical topics are included in an appendix. Based on a graduate course on data analysis that the author has taught for many years, and couched in the looser, workaday language of scientists and engineers who wrestle directly with data, this book is ideal for courses on data analysis and a valuable resource for students, instructors, and practitioners in the physical sciences and engineering. In-depth discussion of data analysis for scientists and engineers Coverage of both frequentist and Bayesian approaches to data analysis Extensive look at analysis techniques for time-series data and images Detailed exploration of linear and nonlinear modeling of data Emphasis on error analysis Instructor's manual (available only to professors)

Product Identifiers

Publisher
Princeton University Press
ISBN-10
0691169926
ISBN-13
9780691169927
eBay Product ID (ePID)
220547752

Product Key Features

Author
Edward L. Robinson
Publication Name
Data Analysis for Scientists and Engineers
Format
Hardcover
Language
English
Publication Year
2016
Type
Textbook
Number of Pages
408 Pages

Dimensions

Item Length
10.1in
Item Height
1.2in
Item Width
8.4in
Item Weight
43.1 Oz

Additional Product Features

Lc Classification Number
Qa276
Reviews
"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 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
Copyright Date
2017
Target Audience
College Audience
Topic
Probability & Statistics / General, General, Research & Methodology, Physics / General
Lccn
2016-930361
Dewey Decimal
519.50285
Dewey Edition
23
Illustrated
Yes
Genre
Technology & Engineering, Science, Mathematics

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