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Data Analysis - Statistical and Computational Methods for Scientists and Engineers (Paperback, Softcover reprint of the original 3rd ed. 1999)
Loot Price: R1,658
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Data Analysis - Statistical and Computational Methods for Scientists and Engineers (Paperback, Softcover reprint of the original 3rd ed. 1999)
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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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