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ocn795795373
OCoLC
20171224114001.0
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120619s2012 nju ob 001 0 eng d
DG1
eng
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OCLCQ
OCLCO
OCLCQ
DG1
796214724
9781118231296
(electronic bk.)
1118231295
(electronic bk.)
0470889748
9780470889749
9786613622280
AU@
000049595557
AU@
000050239921
NZ1
15921988
(OCoLC)795795373
(OCoLC)796214724
10.1002/9781118231296
Wiley InterScience
http://www3.interscience.wiley.com
QA274
.O46 2012
519.2/3
23
MAT029000
bisacsh
MAIN
Olofsson, Peter,
1963-
Probability, statistics, and stochastic processes /
Peter Olofsson, Mikael Andersson.
2nd ed.
Hoboken :
Wiley,
©2012.
1 online resource (448)
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Frontmatter -- Basic Probability Theory -- Random Variables -- Joint Distributions -- Limit Theorems -- Simulation -- Statistical Inference -- Linear Models -- Stochastic Processes -- Appendix A: Tables -- Appendix B: Answers to Selected Problems -- Further Reading -- Index.
A mathematical and intuitive approach to probability, statistics, and stochastic processes. This textbook provides a unique, balanced approach to probability, statistics, and stochastic processes. Readers gain a solid foundation in all three fields that serves as a stepping stone to more advanced investigations into each area. This text combines a rigorous, calculus-based development of theory with a more intuitive approach that appeals to readers' sense of reason and logic, an approach developed through the author's many years of classroom experience. The text begins with three chapters that develop probability theory and introduce the axioms of probability, random variables, and joint distributions. The next two chapters introduce limit theorems and simulation. Also included is a chapter on statistical inference with a section on Bayesian statistics, which is an important, though often neglected, topic for undergraduate-level texts. Markov chains in discrete and continuous time are also discussed within the book. More than 400 examples are interspersed throughout the text to help illustrate concepts and theory and to assist the reader in developing an intuitive sense of the subject. Readers will find many of the examples to be both entertaining and thought provoking. This is also true for the carefully selected problems that appear at the end of each chapter. This book is an excellent text for upper-level undergraduate courses. While many texts treat probability theory and statistical inference or probability theory and stochastic processes, this text enables students to become proficient in all three of these essential topics. For students in science and engineering who may take only one course in probability theory, mastering all three areas will better prepare them to collect, analyze, and characterize data in their chosen fields.
Print version record.
Includes bibliographical references (pages 551-552) and index.
Stochastic processes
Textbooks.
Probabilities
Textbooks.
Mathematical statistics
Textbooks.
Mathematical statistics.
fast
(OCoLC)fst01012127
Probabilities.
fast
(OCoLC)fst01077737
Stochastic processes.
fast
(OCoLC)fst01133519
Electronic resource.
Electronic books.
Textbooks.
fast
(OCoLC)fst01423863
Andersson, Mikael.
Wiley InterScience (Online service)
Print version:
Probability, Statistics, and Stochastic Processes.
Wiley-Interscience 2011
9780470889749
(OCoLC)758844569
http://onlinelibrary.wiley.com/book/10.1002/9781118231296
Wiley Online Library
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