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Statistical and Computational Methods in Data Analysis - Hardcover

 
9780720403343: Statistical and Computational Methods in Data Analysis

Synopsis

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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"The book is concise, but gives a sufficiently rigorous mathematical treatment of practical statistical methods for data analysis¿It can be of great use to all who are involved with data analysis." Physicalia

"... Serves as a nice reference guide for any scientist interested in the fundamentals of data analysis on the computer." The American Statistician

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Siegmund Brandt
ISBN 10: 0720403340 ISBN 13: 9780720403343
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Hardcover. Condition: Bon. Ancien livre de bibliothèque. Traces d'usure sur la couverture. Salissures sur la tranche. Jaquette abîmée. Edition 1976. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Former library book. Signs of wear on the cover. Stains on the edge. Damaged dust jacket. Edition 1976. Ammareal gives back up to 15% of this item's net price to charity organizations. Seller Inventory # D-597-555

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