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1. A first course in probability [2019]
 Ross, Sheldon M., author.
 Tenth edition.  Boston : Pearson, 2018.
 Description
 Book — xii, 505 pages : illiustrations ; 26 cm
 Summary

 Combinatorial analysis
 Axioms of probability
 Conditional probability and independence
 Random variables
 Continuous random variables
 Jointly distributed random variables
 Properties of expectation
 Limit theorems
 Additional topics in probability
 Simulation
 Common discrete distributions
 Common continuous distributions.
(source: Nielsen Book Data) 9780134753119 20180924
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MATH15101
 Course
 MATH15101  Introduction to Probability Theory
 Instructor(s)
 Kwan, Matthew
2. A first course in probability [2014]
 Ross, Sheldon M.
 Ninth edition.  Upper Saddle River, New Jersey : Pearson Education, Inc., [2014]
 Description
 Book — xi, 467 pages ; 26 cm.
 Online
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3. Introduction to probability models [2014]
 Ross, Sheldon M., author.
 Eleventh edition.  Oxford : Academic Press is an imprint of Elsevier, 2014.
 Description
 Book — xv, 767 pages ; 24 cm
 Summary

Sheldon Ross's classic bestseller, Introduction to Probability Models, has been used extensively by professionals and as the primary text for a first undergraduate course in applied probability. It introduces elementary probability theory and stochastic processes, and shows how probability theory can be applied fields such as engineering, computer science, management science, the physical and social sciences, and operations research. The hallmark features of this renowned text remain in this eleventh edition: superior writing style; excellent exercises and examples covering the wide breadth of coverage of probability topic; and realworld applications in engineering, science, business and economics. The 65% new chapter material includes coverage of finite capacity queues, insurance risk models, and Markov chains, as well as updated data. * Updated data, and a list of commonly used notations and equations, instructor's solutions manual* Offers new applications of probability models in biology and new material on Point Processes, including the Hawkes process* Introduces elementary probability theory and stochastic processes, and shows how probability theory can be applied in fields such as engineering, computer science, management science, the physical and social sciences, and operations research* Covers finite capacity queues, insurance risk models, and Markov chains * Contains compulsory material for new Exam 3 of the Society of Actuaries including several sections in the new exams* Appropriate for a full year course, this book is written under the assumption that students are familiar with calculus.
(source: Nielsen Book Data) 9780124079489 20160612
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MS&E22101
 Course
 MS&E22101  Stochastic Modeling
 Instructor(s)
 Glynn, Peter W
4. A first course in probability [2010]
 Ross, Sheldon M.
 8th ed.  Upper Saddle River, N.J. : Pearson Prentice Hall, c2010.
 Description
 Book — xiii, 530 p. : ill. ; 26 cm.
 Summary

 1. Combinatorial Analysis
 2. Axioms of Probability
 3. Conditional Probability and Independence
 4. Random Variables
 5. Continuous Random Variables
 6. Jointly Distributed Random Variables
 7. Properties of Expectation
 8. Limit Theorems
 9. Additional Topics in Probability
 10. Simulation Appendix A. Answers to Selected Problems Appendix B. Solutions to SelfTest Problems and Exercises Index.
 (source: Nielsen Book Data)
(source: Nielsen Book Data) 9780136079095 20160527
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5. Introduction to probability models [2010]
 Ross, Sheldon M.
 10th ed.  Amsterdam ; Boston : Elsevier/Academic Press, c2010.
 Description
 Book — xv, 784 p. : ill. ; 24 cm.
 Summary

Ross' classic bestseller, "Introduction to Probability Models", has been used extensively by professionals and as the primary text for a first undergraduate course in applied probability. It provides an introduction to elementary probability theory and stochastic processes, and shows how probability theory can be applied to the study of phenomena in fields such as engineering, computer science, management science, the physical and social sciences, and operations research. With the addition of several new sections relating to actuaries, this text is highly recommended by the Society of Actuaries. New to this Edition are 65 per cent new chapter material including coverage of finite capacity queues, insurance risk models and Markov chains. It contains compulsory material for new Exam 3 of the Society of Actuaries containing several sections in the new exams. It has updated data, and a list of commonly used notations and equations, a robust ancillary package, including a ISM, SSM, test bank, and companion website. it includes SPSS PASW Modeler and SAS JMP software packages which are widely used in the field. Hallmark features: superior writing style; excellent exercises and examples covering the wide breadth of coverage of probability topics; and realworld applications in engineering, science, business and economics.
(source: Nielsen Book Data) 9780123756862 20160528
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MS&E22101
 Course
 MS&E22101  Stochastic Modeling
 Instructor(s)
 Glynn, Peter W
6. Introductory statistics [2010]
 Ross, Sheldon M.
 3rd ed.  Amsterdam ; Boston : Academic Press/Elsevier, c2010.
 Description
 Book — xxi, 818 p. : ill. ; 25 cm.
 Summary

 Preface Introduction to Statistics Describing Data Sets Using Statistics to Summarize Data Sets Probability Discrete Random Variables Normal Random Variables Distributions of Sampling Statistics Estimation Testing Statistical Hypotheses Hypothesis Tests Concerning Two Populations Analysis of Variance Linear Regression ChiSquared Goodness of Fit Tests Nonparametric Hypotheses Tests Quality Control Appendices.
 (source: Nielsen Book Data)
(source: Nielsen Book Data) 9780123743886 20170626
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QA276 .R684 2010  Unknown 
 Ross, Sheldon M.
 4th ed.  Amsterdam ; Boston : Academic Press, c2009.
 Description
 Book — xv, 664 p. : ill. (some col.) ; 25 cm. + 1 CDROM (4 3/4 in.)
 Summary

This updated text provides a superior introduction to applied probability and statistics for engineering or science majors. It emphasizes the manner in which probability yields insight into statistical problems; ultimately resulting in an intuitive understanding of the statistical procedures most often used by practicing engineers and scientists. Real data sets are incorporated in a wide variety of exercises and examples throughout the book, and this emphasis on data motivates the probability coverage. As with the previous editions, this text has tremendously clear exposition, plus realdata examples and exercises throughout the text. Numerous exercises, examples, and applications apply probability theory to everyday statistical problems and situations. New to the 4th Edition: new chapter on Simulation, Bootstrap Statistical Methods, and Permutation Tests; 20% new updated problem sets and applications, that demonstrate updated applications to engineering as well as biological, physical and computer science; new real data examples that use significant real data from actual studies across life science, engineering, computing and business; and, new end of chapter review material that emphasizes key ideas as well as the risks associated with practical application of the material.
(source: Nielsen Book Data) 9780123704832 20160604
Engineering Library (Terman), Science Library (Li and Ma)
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8. Introduction to probability models [2007]
 Ross, Sheldon M.
 9th ed.  Amsterdam ; Boston : Elsevier/Academic Press, c2007.
 Description
 Book — xviii, 782 p. : ill. ; 24 cm.
 Summary

 Preface
 1. Introduction to Probability Theory
 2. Random Variables
 3. Conditional Probability and Conditional Expectation
 4. Markov Chains
 5. The Exponential Distribution and the Poisson Process
 6. ContinuousTime Markov Chains
 7. Renewal Theory and Its Applications
 8. Queueing Theory
 9. Reliability Theory
 10. Brownian Motion and Stationary Processes
 11. Simulation Appendix: Solutions to Starred Exercises Index.
 (source: Nielsen Book Data)
(source: Nielsen Book Data) 9780125980623 20160528
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QA273 .R84 2007  Unavailable Checked out  Overdue Request 
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9. A first course in probability [2006]
 Ross, Sheldon M.
 7th ed.  Upper Saddle River, N.J. : Pearson Prentice Hall, c2006.
 Description
 Book — x, 565 p. : ill. ; 25 cm.
 Summary

 1. Combinatorial Analysis.
 2. Axioms of Probability.
 3. Conditional Probability and Independence.
 4. Random Variables.
 5. Continuous Random Variables.
 6. Jointly Distributed Random Variables.
 7. Properties of Expectation.
 8. Limit Theorems.
 9. Additional Topics in Probability.
 10. Simulation. Appendix A. Answers to Selected Problems. Appendix B. Solutions to SelfTest Problems and Exercises. Index.
 (source: Nielsen Book Data)
(source: Nielsen Book Data) 9780132018173 20160527
 Online
Engineering Library (Terman), Science Library (Li and Ma)
 Ross, Sheldon M.
 3rd ed.  San Diego, CA : Academic Press, c2004.
 Description
 Book — xv, 624 p. : ill. ; 24 cm. + 1 computer optical disc (4 3/4 in.)
 Summary

 Preface Introduction to Statistics Descriptive Statistics Elements of Probability Random Variables and Expectation Special Random Variables Distributions of Sampling Statistics Parameter Estimation Hypothesis Testing Regression Analysis of Variance Goodness of Fit Tests and Categorical Data Analysis Nonparametric Hypothesis Tests Quality Control LifeTesting Appendix of Tables.
 (source: Nielsen Book Data)
(source: Nielsen Book Data) 9780125980579 20160528
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11. Introduction to probability models [1997]
 Ross, Sheldon M.
 6th ed.  San Diego, CA : Academic Press, c1997.
 Description
 Book — xiv, 669 p, ; 24 cm.
 Summary

Introducing elementary probability theory and stochastic processes, this text includes additional exercises in every chapter and a new appendix with the answers to approximately 100 of the included exercises from throughout the text.
(source: Nielsen Book Data) 9780125984706 20160528
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QA273 .R84 1997  Unknown 
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QA273 .R84 1997  Available 
 Ross, Sheldon M.
 New York : Academic Press, 1983.
 Description
 Book — xi, 164 p. ; 24 cm.
Engineering Library (Terman)
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T57.83 .R67 1983  Unknown 
13. Introduction to probability models [1980]
 Ross, Sheldon M.
 2d ed.  New York : Academic Press, c1980.
 Description
 Book — xi, 376 p. : ill. ; 24 cm.
 Online
Engineering Library (Terman), SAL3 (offcampus storage)
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QA273 .R84 1980  Unknown 
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QA273 .R84 1980  Available 
 Ross, Sheldon M.
 San Francisco [Calif.] HoldenDay [1970]
 Description
 Book — 198 p. illus. 24 cm.
 Online
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T57.3 .R67  Unknown 
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