Data Analysis - Statistical and Computational Methods for Scientists and Engineers (Hardcover, 3rd ed. 1999)

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. An accompanying CD-ROM provides detailed code for implementing many of these algorithms. 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.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Release date:	November 1998
First published:	December 1998
Translators:	Glen Gowan
Authors:	Siegmund Brandt
Dimensions:	235 x 155 x 36mm (L x W x T)
Format:	Hardcover
Pages:	652
Edition:	3rd ed. 1999
ISBN-13:	978-0-387-98498-8
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Science & Mathematics > Science: general issues > Scientific equipment & techniques, laboratory equipment > General Books > Science & Mathematics > Physics > Thermodynamics & statistical physics > Statistical physics
LSN:	0-387-98498-4
Barcode:	9780387984988

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