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Data Analysis

Statistical and Computational Methods for Scientists and Engineers

Language EnglishEnglish
Book Paperback
Book Data Analysis Siegmund Brandt
Libristo code: 06795112
Publishers Springer-Verlag New York Inc., October 2012
Bridging the gap between statistical theory and physical experiment, this is a thorough introduction... Full description
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Bridging the gap between statistical theory and physical experiment, this is a thorough introduction to the statistical methods used in the experimental physical sciences and to the numerical methods used to implement them. The treatment emphasises concise but rigorous mathematics but always retains its focus on applications. Readers are assumed to have a sound basic knowledge of differential and integral calculus and some knowledge of vectors and matrices. After an introduction to probability, random variables, computer generation of random numbers and important distributions, the book turns to statistical samples, the maximum likelihood method, and the testing of statistical hypotheses. The discussion concludes with several important statistical methods: least squares, analysis of variance, polynomial regression, and analysis of time series. Appendices provide the necessary methods of matrix algebra, combinatorics, and many sets of useful algorithms and formulae.

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About the book

Full name Data Analysis
Language English
Binding Book - Paperback
Date of issue 2012
Number of pages 652
EAN 9781461271475
ISBN 1461271479
Libristo code 06795112
Weight 1044
Dimensions 155 x 235 x 236
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