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Data Analysis: Statistical and Computational Methods for Scientists and Engineers
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Data Analysis: Statistical and Computational Methods for Scientists and Engineers (Books & other media combined)

£79.99
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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.

Science & MathematicsMathematicsProbability & statisticsScience & MathematicsPhysicsStatistical physicsScience & MathematicsScience: general issuesMaths for scientistsScience & MathematicsScience: general issuesScientific equipment, experiments & techniques Publisher: Springer-Verlag New York Inc. Publication Date: 01/11/1998 ISBN-13: 9780387984988  Details: Type: Books & other media combined Format: Books
Availability: Currently unavailable to order online.  

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