Format:
XVIII, 894 S.
ISBN:
0-471-63216-3
Series Statement:
Wiley series in probability and mathematical statistics
Content:
Offering comprehensive coverage of modern probability theory (exclusive of continuous time stochastic processes), this unique book functions as both an introduction for graduate statisticians, mathematicians, engineers, and economists and an encyclopedic reference of the subject for professionals in these fields. It assumes only a knowledge of calculus as well as basic real analysis and linear algebra
Content:
Throughout Theoretical Probability for Applications the focus is on the practical uses of this increasingly important tool. It develops topics of discrete time probability theory for use in a multitude of applications, including stochastic processes, theoretical statistics, and other disciplines that require a sound foundation in modern probability theory. Principles of measure theory related to the study of probability theory are developed as they are required throughout the book
Content:
The book examines most of the basic probability models that involve only a finite or countably infinite number of random variables. Topics in the "Discrete Models" section include Bernoulli trials, random walks, matching, sums of indicators, multinomial trials. Poisson approximations and processes, sampling. Markov chains, and discrete renewal theory. Nondiscrete models discussed include univariate, Beta, sampling, and Dirichlet distributions as well as order statistics
Language:
English
Subjects:
Mathematics
Keywords:
Wahrscheinlichkeitstheorie
;
Einführung
URL:
http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=006041403&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
URL:
http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=006041403&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
URL:
http://www.loc.gov/catdir/toc/onix03/93014725.html
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