04379cam a2200601Ka 4500 ocn795795373 OCoLC 20171114091506.0 m o d cr cn||||||||| 120619s2012 nju ob 001 0 eng d 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 DG1 eng pn DG1 CDX OCLCO COO OCLCQ OCLCF OCLCA YDXCP OCLCQ OCLCO OCLCQ DG1 MAIN QA274 .O46 2012 519.2/3 23 MAT029000 bisacsh Olofsson, Peter, 1963- Probability, statistics, and stochastic processes / Peter Olofsson, Mikael Andersson. [electronic resource] 2nd ed. Hoboken : Wiley, ©2012. 1 online resource (448) text txt rdacontent computer c rdamedia online resource cr rdacarrier Includes bibliographical references (pages 551-552) and index. 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. 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 ddc BK 205965 205965