1. Introduction to probability models [2014]
- Book
- xv, 767 pages ; 24 cm
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 real-world 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
(source: Nielsen Book Data)9780124079489 20160612
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 real-world 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
(source: Nielsen Book Data)9780124079489 20160612
Engineering Library (Terman), eReserve
Engineering Library (Terman) | Status |
---|---|
On reserve: Ask at circulation desk | |
QA273 .R84 2014 | Unknown 2-hour loan |
eReserve | Status |
---|---|
Instructor's copy | |
(no call number) | Unknown |
MS&E-223-01
- Course
- MS&E-223-01 -- Simulation
- Instructor(s)
- Haas, Peter Jay
2. Simulation [2013]
- Book
- 1 online resource (xii, 310 pages) : illustrations
- Elements of probability
- Random numbers
- Generating discrete random variables
- Generating continuous random variables
- The multivariate normal distribution and copulas
- The discrete event simulation approach
- Statistical analysis of simulated data
- Variance reduction techniques
- Additional variance reduction techniques
- Statistical validation techniques
- Markov chain Monte Carlo methods.
(source: Nielsen Book Data)9780124158252 20161114
- Elements of probability
- Random numbers
- Generating discrete random variables
- Generating continuous random variables
- The multivariate normal distribution and copulas
- The discrete event simulation approach
- Statistical analysis of simulated data
- Variance reduction techniques
- Additional variance reduction techniques
- Statistical validation techniques
- Markov chain Monte Carlo methods.
(source: Nielsen Book Data)9780124158252 20161114
eReserve
eReserve | Status |
---|---|
Instructor's copy | |
(no call number) | Unknown |
MS&E-223-01
- Course
- MS&E-223-01 -- Simulation
- Instructor(s)
- Haas, Peter Jay
3. Simulation [electronic resource] [2013]
- Book
- 1 online resource.
The 5th edition of Ross's Simulation continues to introduce aspiring and practicing actuaries, engineers, computer scientists and others to the practical aspects of constructing computerized simulation studies to analyze and interpret real phenomena. Readers learn to apply results of these analyses to problems in a wide variety of fields to obtain effective, accurate solutions and make predictions about future outcomes. This latest edition features all-new material on variance reduction, including control variables and their use in estimating the expected return at blackjack and their relation to regression analysis. Additionally, the 5th edition expands on Markov chain monte carlo methods, and offers unique information on the alias method for generating discrete random variables. By explaining how a computer can be used to generate random numbers and how to use these random numbers to generate the behavior of a stochastic model over time, Ross's Simulation, 5th edition presents the statistics needed to analyze simulated data as well as that needed for validating the simulation model. * Additional material on variance reduction, including control variables and their use in estimating the expected return at blackjack and their relation to regression analysis* Additional material and examples on Markov chain Monte Carlo methods* Unique material on the alias method for generating discrete random variables* Additional material on generating multivariate normal vectors.
(source: Nielsen Book Data)9780124158252 20161114
(source: Nielsen Book Data)9780124158252 20161114
The 5th edition of Ross's Simulation continues to introduce aspiring and practicing actuaries, engineers, computer scientists and others to the practical aspects of constructing computerized simulation studies to analyze and interpret real phenomena. Readers learn to apply results of these analyses to problems in a wide variety of fields to obtain effective, accurate solutions and make predictions about future outcomes. This latest edition features all-new material on variance reduction, including control variables and their use in estimating the expected return at blackjack and their relation to regression analysis. Additionally, the 5th edition expands on Markov chain monte carlo methods, and offers unique information on the alias method for generating discrete random variables. By explaining how a computer can be used to generate random numbers and how to use these random numbers to generate the behavior of a stochastic model over time, Ross's Simulation, 5th edition presents the statistics needed to analyze simulated data as well as that needed for validating the simulation model. * Additional material on variance reduction, including control variables and their use in estimating the expected return at blackjack and their relation to regression analysis* Additional material and examples on Markov chain Monte Carlo methods* Unique material on the alias method for generating discrete random variables* Additional material on generating multivariate normal vectors.
(source: Nielsen Book Data)9780124158252 20161114
(source: Nielsen Book Data)9780124158252 20161114
www.sciencedirect.com ScienceDirect
- www.sciencedirect.com ScienceDirect
- Google Books (Full view)
eReserve
eReserve | Status |
---|---|
Instructor's copy | |
(no call number) | Unknown |
MS&E-223-01
- Course
- MS&E-223-01 -- Simulation
- Instructor(s)
- Haas, Peter Jay
4. Simulation modeling and analysis [2013]
- Book
- xviii, 776 pages : illustrations ; 24 cm.
- 1 Basic Simulation Modeling 2 Modeling Complex Systems 3 Simulation Software 4 Review of Basic Probability and Statistics 5 Building Valid, Credible, and Appropriately Detailed Simulation Models 6 Selecting Input Probability Distributions 7 Random-Number Generators 8 Generating Random Variates 9 Output Data Analysis for a Single System 10 Comparing Alternative System Configurations 11 Variance-Reduction Techniques 12 Experimental Design, Sensitivity Analysis, and Optimization 13 Simulation of Manufacturing Systems.
- (source: Nielsen Book Data)9780073401324 20160612
(source: Nielsen Book Data)9780073401324 20160612
- 1 Basic Simulation Modeling 2 Modeling Complex Systems 3 Simulation Software 4 Review of Basic Probability and Statistics 5 Building Valid, Credible, and Appropriately Detailed Simulation Models 6 Selecting Input Probability Distributions 7 Random-Number Generators 8 Generating Random Variates 9 Output Data Analysis for a Single System 10 Comparing Alternative System Configurations 11 Variance-Reduction Techniques 12 Experimental Design, Sensitivity Analysis, and Optimization 13 Simulation of Manufacturing Systems.
- (source: Nielsen Book Data)9780073401324 20160612
(source: Nielsen Book Data)9780073401324 20160612
Engineering Library (Terman)
Engineering Library (Terman) | Status |
---|---|
On reserve: Ask at circulation desk | |
QA76.9 .C65 L38 2013 | Unknown 2-hour loan |
MS&E-223-01
- Course
- MS&E-223-01 -- Simulation
- Instructor(s)
- Haas, Peter Jay
5. Introduction to probability models [2010]
- Book
- xv, 784 p. : ill. ; 24 cm.
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 real-world applications in engineering, science, business and economics.
(source: Nielsen Book Data)9780123756862 20160528
(source: Nielsen Book Data)9780123756862 20160528
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 real-world applications in engineering, science, business and economics.
(source: Nielsen Book Data)9780123756862 20160528
(source: Nielsen Book Data)9780123756862 20160528
Engineering Library (Terman)
Engineering Library (Terman) | Status |
---|---|
On reserve: Ask at circulation desk | |
QA273 .R84 2010 | Unknown 4-hour loan |
MS&E-223-01
- Course
- MS&E-223-01 -- Simulation
- Instructor(s)
- Haas, Peter Jay
6. Introductory statistics [2010]
- Book
- xxi, 818 p. : ill. ; 25 cm.
In this 3rd edition revised text, master expositor Sheldon Ross has produced a unique work in introductory statistics. The text's main merits are the clarity of presentation, contemporary examples and applications from diverse areas, and an explanation of intuition and ideas behind the statistical methods. Concepts are motivated, illustrated and explained in a way that attempts to increase one's intuition. To quote from the preface, 'It is only when a student develops a feel or intuition for statistics that she or he is really on the path toward making sense of data'. Ross achieves this goal through a coherent mix of mathematical analysis, intuitive discussions and examples. Applications and examples refer to real-world issues, such as gun control, stock price models, health issues, driving age limits, school admission ages, use of helmets, sports, scientific fraud and many others. Ancillary list includes: Instructor's Manual; Student Solutions Manual; Student Solutions Manual for 2nd Edition; Sample Chapter, eBook; and, Companion Website w/Data Sets. This title features unique historical perspective profiling prominent statisticians and historical events to motivate learning by providing interest and context. Use of exercises and examples helps guide the student towards independent learning using real issues and real data, e.g. stock price models, health issues, gender issues, sports, and scientific fraud. Summary/Key Terms - chapters end with detailed reviews of important concepts and formulas, key terms and definitions which are useful to students as study tools. Data sets from text and exercise material will be available to download from the text website, saves students time.
(source: Nielsen Book Data)9780123743886 20160615
(source: Nielsen Book Data)9780123743886 20160615
In this 3rd edition revised text, master expositor Sheldon Ross has produced a unique work in introductory statistics. The text's main merits are the clarity of presentation, contemporary examples and applications from diverse areas, and an explanation of intuition and ideas behind the statistical methods. Concepts are motivated, illustrated and explained in a way that attempts to increase one's intuition. To quote from the preface, 'It is only when a student develops a feel or intuition for statistics that she or he is really on the path toward making sense of data'. Ross achieves this goal through a coherent mix of mathematical analysis, intuitive discussions and examples. Applications and examples refer to real-world issues, such as gun control, stock price models, health issues, driving age limits, school admission ages, use of helmets, sports, scientific fraud and many others. Ancillary list includes: Instructor's Manual; Student Solutions Manual; Student Solutions Manual for 2nd Edition; Sample Chapter, eBook; and, Companion Website w/Data Sets. This title features unique historical perspective profiling prominent statisticians and historical events to motivate learning by providing interest and context. Use of exercises and examples helps guide the student towards independent learning using real issues and real data, e.g. stock price models, health issues, gender issues, sports, and scientific fraud. Summary/Key Terms - chapters end with detailed reviews of important concepts and formulas, key terms and definitions which are useful to students as study tools. Data sets from text and exercise material will be available to download from the text website, saves students time.
(source: Nielsen Book Data)9780123743886 20160615
(source: Nielsen Book Data)9780123743886 20160615
Engineering Library (Terman)
Engineering Library (Terman) | Status |
---|---|
On reserve: Ask at circulation desk | |
QA276 .R684 2010 | Unknown 2-hour loan |
MS&E-223-01
- Course
- MS&E-223-01 -- Simulation
- Instructor(s)
- Haas, Peter Jay
7. Simulation modeling and analysis [2006]
- Book
- xix, 768 p. : ill. ; 24 cm. + 1 CD-ROM (4 3/4 in.)
- 1. Basic Simulation Modeling 2. Modeling Complex Systems 3. Simulation Software 4. Review of Basic Probability and Statistics 5. Building Valid, Credible, and Appropriately Detailed Simulation Models 6. Selecting Input Probability Distributions 7. Random-Number Generators 8. Generating Random Variates 9. Output Data Analysis for a Single System 10. Comparing Alternative System Configurations 11. Variance-Reduction Techniques 12. Experimental Design and Optimization 13. Simulation of Manufacturing Systems.
- (source: Nielsen Book Data)9780072988437 20160527
(source: Nielsen Book Data)9780072988437 20160527
- 1. Basic Simulation Modeling 2. Modeling Complex Systems 3. Simulation Software 4. Review of Basic Probability and Statistics 5. Building Valid, Credible, and Appropriately Detailed Simulation Models 6. Selecting Input Probability Distributions 7. Random-Number Generators 8. Generating Random Variates 9. Output Data Analysis for a Single System 10. Comparing Alternative System Configurations 11. Variance-Reduction Techniques 12. Experimental Design and Optimization 13. Simulation of Manufacturing Systems.
- (source: Nielsen Book Data)9780072988437 20160527
(source: Nielsen Book Data)9780072988437 20160527
Engineering Library (Terman)
Engineering Library (Terman) | Status |
---|---|
On reserve: Ask at circulation desk | |
QA76.9 .C65 L38 2005 | Unknown 2-hour loan |
MS&E-223-01
- Course
- MS&E-223-01 -- Simulation
- Instructor(s)
- Haas, Peter Jay
8. Introductory statistics [2005]
- Book
- xvii, 809 p. : ill. (some col.) ; 25 cm. + 1 CD-ROM (4 3/4 in.)
- 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 Chi-Squared Goodness of Fit Tests Nonparametric Hypotheses Tests Quality Control Appendices.
- (source: Nielsen Book Data)9780125971324 20160528
(source: Nielsen Book Data)9780125971324 20160528
- 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 Chi-Squared Goodness of Fit Tests Nonparametric Hypotheses Tests Quality Control Appendices.
- (source: Nielsen Book Data)9780125971324 20160528
(source: Nielsen Book Data)9780125971324 20160528
Engineering Library (Terman), SAL1&2 (on-campus shelving)
Engineering Library (Terman) | Status |
---|---|
On reserve: Ask at circulation desk | |
QA276 .R684 2005 | Unknown 2-hour loan |
SAL1&2 (on-campus shelving) | Status |
---|
MS&E-223-01
- Course
- MS&E-223-01 -- Simulation
- Instructor(s)
- Haas, Peter Jay
- Book
- xxii, 509 p. : ill. ; 24 cm.
- Introduction * Modelling with Stochastic Petri Nets * The Marking Process * Modelling Power * Recurrence * Regenerative Simulation * Alternative Simulation Methods * Delays * Colored Stochastic Petri Nets * Appendix A Selected Background * References * Index.
- (source: Nielsen Book Data)9780387954455 20160528
(source: Nielsen Book Data)9780387954455 20160528
- Introduction * Modelling with Stochastic Petri Nets * The Marking Process * Modelling Power * Recurrence * Regenerative Simulation * Alternative Simulation Methods * Delays * Colored Stochastic Petri Nets * Appendix A Selected Background * References * Index.
- (source: Nielsen Book Data)9780387954455 20160528
(source: Nielsen Book Data)9780387954455 20160528
www.myilibrary.com MyiLibrary
- www.myilibrary.com MyiLibrary
- link.springer.com SpringerLink
- SpringerLink
- Google Books (Full view)
Engineering Library (Terman), eReserve
Engineering Library (Terman) | Status |
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On reserve: Ask at circulation desk | |
QA274 .H33 2002 | Unknown 2-hour loan |
eReserve | Status |
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Instructor's copy | |
(no call number) | Unknown |
MS&E-223-01
- Course
- MS&E-223-01 -- Simulation
- Instructor(s)
- Haas, Peter Jay
- Book
- x, 203 p. 25 cm.
Engineering Library (Terman)
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On reserve: Ask at circulation desk | |
QA274 .H6 | Unknown 2-hour loan |
QA274 .H6 | Unknown 2-hour loan |
QA274 .H6 | Unknown 2-hour loan |
MS&E-223-01
- Course
- MS&E-223-01 -- Simulation
- Instructor(s)
- Haas, Peter Jay
Engineering Library (Terman)
Engineering Library (Terman) | Status |
---|---|
On reserve: Ask at circulation desk | |
PAM 862 | Unknown 2-hour loan |
MS&E-223-01
- Course
- MS&E-223-01 -- Simulation
- Instructor(s)
- Haas, Peter Jay