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Books > Science & Mathematics > Mathematics > Probability & statistics
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Data Analysis - A Bayesian Tutorial (Paperback, 2nd Revised edition)
Loot Price: R1,429
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Data Analysis - A Bayesian Tutorial (Paperback, 2nd Revised edition)
Expected to ship within 9 - 17 working days
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Statistics lectures have been a source of much bewilderment and
frustration for generations of students. This book attempts to
remedy the situation by expounding a logical and unified approach
to the whole subject of data analysis.
This text is intended as a tutorial guide for senior
undergraduates and research students in science and engineering.
After explaining the basic principles of Bayesian probability
theory, their use is illustrated with a variety of examples ranging
from elementary parameter estimation to image processing. Other
topics covered include reliability analysis, multivariate
optimization, least-squares and maximum likelihood,
error-propagation, hypothesis testing, maximum entropy and
experimental design.
The Second Edition of this successful tutorial book contains a new
chapter on extensions to the ubiquitous least-squares procedure,
allowing for the straightforward handling of outliers and unknown
correlated noise, and a cutting-edge contribution from John
Skilling on a novel numerical technique for Bayesian computation
called 'nested sampling'.
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