000 | 04596cam a2200661Ka 4500 | ||
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001 | ocn795795373 | ||
003 | OCoLC | ||
005 | 20171224114001.0 | ||
006 | m o d | ||
007 | cr cn||||||||| | ||
008 | 120619s2012 nju ob 001 0 eng d | ||
040 |
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019 | _a796214724 | ||
020 |
_a9781118231296 _q(electronic bk.) |
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020 |
_a1118231295 _q(electronic bk.) |
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020 | _a0470889748 | ||
020 | _a9780470889749 | ||
024 | 8 | _a9786613622280 | |
029 | 1 |
_aAU@ _b000049595557 |
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029 | 1 |
_aNZ1 _b15921988 |
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035 |
_a(OCoLC)795795373 _z(OCoLC)796214724 |
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037 |
_a10.1002/9781118231296 _bWiley InterScience _nhttp://www3.interscience.wiley.com |
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050 | 4 |
_aQA274 _b.O46 2012 |
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082 | 0 | 4 |
_a519.2/3 _223 |
084 |
_aMAT029000 _2bisacsh |
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049 | _aMAIN | ||
100 | 1 |
_aOlofsson, Peter, _d1963- |
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245 | 1 | 0 |
_aProbability, statistics, and stochastic processes / _cPeter Olofsson, Mikael Andersson. |
250 | _a2nd ed. | ||
260 |
_aHoboken : _bWiley, _c©2012. |
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300 | _a1 online resource (448) | ||
336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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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. |
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650 | 0 |
_aProbabilities _vTextbooks. |
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650 | 0 |
_aMathematical statistics _vTextbooks. |
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650 | 7 |
_aMathematical statistics. _2fast _0(OCoLC)fst01012127 |
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650 | 7 |
_aProbabilities. _2fast _0(OCoLC)fst01077737 |
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650 | 7 |
_aStochastic processes. _2fast _0(OCoLC)fst01133519 |
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655 | 4 | _aElectronic resource. | |
655 | 4 | _aElectronic books. | |
655 | 7 |
_aTextbooks. _2fast _0(OCoLC)fst01423863 |
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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 |
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