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Description

A well-balanced introduction to probability theory and mathematical statistics
Featuring updated material, An Introduction to Probability and Statistics, Third Edition remains a solid overview to probability theory and mathematical statistics. Divided intothree parts, the Third Edition begins by presenting the fundamentals and foundationsof probability. The second part addresses statistical inference, and the remainingchapters focus on special topics.
An Introduction to Probability and Statistics, Third Edition includes: A new section on regression analysis to include multiple regression, logistic regression, and Poisson regression A reorganized chapter on large sample theory to emphasize the growing role of asymptotic statistics Additional topical coverage on bootstrapping, estimation procedures, and resampling Discussions on invariance, ancillary statistics, conjugate prior distributions, and invariant confidence intervals Over 550 problems and answers to most problems, as well as 350 worked out examples and 200 remarks Numerous figures to further illustrate examples and proofs throughout
An Introduction to Probability and Statistics, Third Edition is an ideal reference and resource for scientists and engineers in the fields of statistics, mathematics, physics, industrial management, and engineering. The book is also an excellent text for upper-undergraduate and graduate-level students majoring in probability and statistics.
Pages
728 pages
Collection
Wiley Series in Probability and Statistics
Parution
2015-09-01
Marque
Wiley
EAN papier
9781118799642
EAN PDF
9781118799680
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
728
Taille du fichier
12954 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
141,32 €
EAN EPUB
9781118799659
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
728
Taille du fichier
41083 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
141,32 €

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