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008 120619s2012 nju ob 001 0 eng d
040 _aDG1
_beng
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019 _a796214724
020 _a9781118231296
_q(electronic bk.)
020 _a1118231295
_q(electronic bk.)
020 _a0470889748
020 _a9780470889749
024 8 _a9786613622280
029 1 _aAU@
_b000049595557
029 1 _aAU@
_b000050239921
029 1 _aNZ1
_b15921988
035 _a(OCoLC)795795373
_z(OCoLC)796214724
037 _a10.1002/9781118231296
_bWiley InterScience
_nhttp://www3.interscience.wiley.com
050 4 _aQA274
_b.O46 2012
082 0 4 _a519.2/3
_223
084 _aMAT029000
_2bisacsh
049 _aMAIN
100 1 _aOlofsson, Peter,
_d1963-
245 1 0 _aProbability, statistics, and stochastic processes /
_cPeter Olofsson, Mikael Andersson.
250 _a2nd ed.
260 _aHoboken :
_bWiley,
_c©2012.
300 _a1 online resource (448)
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
505 0 _aFrontmatter -- 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.
520 _aA 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.
588 0 _aPrint version record.
504 _aIncludes bibliographical references (pages 551-552) and index.
650 0 _aStochastic processes
_vTextbooks.
650 0 _aProbabilities
_vTextbooks.
650 0 _aMathematical statistics
_vTextbooks.
650 7 _aMathematical statistics.
_2fast
_0(OCoLC)fst01012127
650 7 _aProbabilities.
_2fast
_0(OCoLC)fst01077737
650 7 _aStochastic processes.
_2fast
_0(OCoLC)fst01133519
655 4 _aElectronic resource.
655 4 _aElectronic books.
655 7 _aTextbooks.
_2fast
_0(OCoLC)fst01423863
700 1 _aAndersson, Mikael.
710 2 _aWiley InterScience (Online service)
776 0 8 _iPrint version:
_tProbability, Statistics, and Stochastic Processes.
_dWiley-Interscience 2011
_z9780470889749
_w(OCoLC)758844569
856 4 0 _uhttp://onlinelibrary.wiley.com/book/10.1002/9781118231296
_zWiley Online Library [Free Download only for SUST IP]
938 _aCoutts Information Services
_bCOUT
_n22305996
938 _aYBP Library Services
_bYANK
_n7292981
938 _aYBP Library Services
_bYANK
_n7613024
938 _aYBP Library Services
_bYANK
_n12671241
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