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This book bridges the gap between statistical theory and physcal experiment. It provides a thorough introduction to the statistical methods used in the experimental physical sciences and to the numerical methods used to implement them. The treatment emphasizes concise but rigorous mathematics but always retains its focus on applications. The reader is presumed to have a sound basic knowledge of differential and integral calulus and some knowledge of vectors and matrices (an appendix develops the vector and matrix methods used and provides a collection of related computer routines). After an introduction of probability, random variables, computer generation of random numbers (Monte Carlo methods) and impotrtant distributions (such as the biomial, Poisson, and normal distributions), the book turns to a discussion of statistical samples, the maximum likelihood method, and the testing of statistical hypotheses. The discussion concludes with the discussion of several important stistical methods: least squares, analysis of variance, polynomial regression, and analysis of tiem series. Appendices provide the necessary methods of matrix algebra, combinatorics, and many sets of useful algorithms and formulae. The book is intended for graduate students setting out on experimental research, but it should also provide a useful reference and programming guide for experienced experimenters. A large number of problems (many with hints or solutions) serve to help the reader test.
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Previews available in: English
Subjects
Probabilities, Mathematical statistics, Mathematical & computational, General, Applied, Engineering (general), Physical & earth sciences > physics > mathematical physics, Mathematics & statistics > mathematics > probability, Mathematics & statistics > mathematics > mathematics general, Physical & earth sciences > chemistry > general chemistry, Scp19021, Scc17004, Scp19013, Sct11006, Scs14000, Suco11651, Scs17020, Professional, career & trade > engineering > general engineering, 5270, 4539, 3789, 3972, 2998Showing 5 featured editions. View all 5 editions?
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1
Data Analysis: Statistical and Computational Methods for Scientists and Engineers
Apr 30, 2017, Springer
paperback
3319347799 9783319347790

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2
Data Analysis: Statistical and Computational Methods for Scientists and Engineers
2014, Springer International Publishing AG
in English
3319037625 9783319037622

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3
Data Analysis: Statistical and Computational Methods for Scientists and Engineers
Feb 15, 2014, Springer
hardcover
3319037617 9783319037615

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4
Data Analysis: Statistical and Computational Methods for Scientists and Engineers
Oct 06, 2011, Springer
paperback
1461214475 9781461214472

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5
Data analysis: statistical and computational methods for scientists and engineers
1999, Springer
electronic resource :
in English
 3rd ed.
1461214467 9781461214465

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Source title: Data Analysis: Statistical and Computational Methods for Scientists and Engineers
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 Created May 20, 2020
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November 12, 2020  Edited by MARC Bot  import existing book 
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August 3, 2020  Edited by ImportBot  import existing book 
May 20, 2020  Created by ImportBot  Imported from amazon.com record. 