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Books > Science & Mathematics > Mathematics > Probability & statistics
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Introductory Statistical Inference (Paperback)
Loot Price: R1,959
Discovery Miles 19 590
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Introductory Statistical Inference (Paperback)
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Total price: R1,979
Discovery Miles: 19 790
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This gracefully organized text reveals the rigorous theory of
probability and statistical inference in the style of a tutorial,
using worked examples, exercises, figures, tables, and computer
simulations to develop and illustrate concepts. Drills and boxed
summaries emphasize and reinforce important ideas and special
techniques. Beginning with a review of the basic concepts and
methods in probability theory, moments, and moment generating
functions, the author moves to more intricate topics. Introductory
Statistical Inference studies multivariate random variables,
exponential families of distributions, and standard probability
inequalities. It develops the Helmert transformation for normal
distributions, introduces the notions of convergence, and
spotlights the central limit theorems. Coverage highlights sampling
distributions, Basu's theorem, Rao-Blackwellization and the
Cramer-Rao inequality. The text also provides in-depth coverage of
Lehmann-Scheffe theorems, focuses on tests of hypotheses, describes
Bayesian methods and the Bayes' estimator, and develops
large-sample inference. The author provides a historical context
for statistics and statistical discoveries and answers to a
majority of the end-of-chapter exercises. Designed primarily for a
one-semester, first-year graduate course in probability and
statistical inference, this text serves readers from varied
backgrounds, ranging from engineering, economics, agriculture, and
bioscience to finance, financial mathematics, operations and
information management, and psychology.
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