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"Introduction to probability theory; Random variables; Conditional probability and conditional expectation; Markov chains; The exponential distribution and the poisson process; Continuous-time markov chains; Renewal theory and its applications; Queueing theory; Reliability; Statistical estimation."
"Introduction to probability theory; Random variables; Conditional probability and conditional expectation; Markov chains; The exponential distribution and the poisson process; Exponential models and continuous-time markov chains; Renewal theory and its applications; Reliability; Statistical estimation."
"The text is particularly well suited for those wanting to apply probability theory to the study of phenomena in fields such as engineering, management science, the physical and social sciences, and operations research. This fifth edition features updated examples and exercises, with an emphasis wherever possible on real dat."@en
"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. A new section (3.7) on Compound Random Variables, that can be used to establish a recursive formula for computing probability mass functions for a variety of common compounding distributions. A new section (4.11) on Hidden Markov Chains, including the forward and backward approaches for computing the joint probability mass function of the signals, as well as the Viterbi algorithm for determining the most likely sequence of states."
""Ross's classic bestseller, Introduction to Probability Models, has been used extensively by professors 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. The tenth edition contains several sections covered in the new exams."--Résumé de l'éditeur."
"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 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."
"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 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: 65% new chapter material including coverage of finite capacity queues, insurance risk models and Markov chains Contains compulsory material for new Exam 3 of the Society of Actuaries containing several sections in the new exams Updated data, and a list of commonly used notations and equations, a robust ancillary package, including a ISM, SSM, test bank, and companion website 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 Real-world applications in engineering, science, business and economics."@en
"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 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: 65% new chapter material including coverage of finite capacity queues, insurance risk models and Markov chains Contains compulsory material for new Exam 3 of the Society of Actuaries containing several sections in the new exams Updated data, and a list of commonly used notations and equations, a robust ancillary package, including a ISM, SSM, test bank, and companion website 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 Real-world applications in engineering, science, business and economics."
"This revised and updated text introduces readers to the application probability theory to phenomena in fields such as engineering, computer science, management and actuarial science, the physical and social sciences, and operations research. It contains exercises and worked examples."
"This revised and updated text introduces readers to the application probability theory to phenomena in fields such as engineering, computer science, management and actuarial science, the physical and social sciences, and operations research. It contains exercises and worked examples."@en
"This text is suited to those applying probability theory to the study of phenomena in engineering, management science, the physical and social sciences and operations research."
"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 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."@en
"Introduction to Probability Models, Student Solutions Manual (e-only)."@en
"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 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."
"Introduction to Probability Models."@en

genre

http://schema.org/genre

"Libros electrónicos"
"Llibres electrònics"
"Electronic books"@en
"Electronic books"
"Matériel didactique"
"Lehrbuch"
"Leermiddelen (vorm)"

name

http://schema.org/name

"<&gt"
"Introduction to probability models = 应用随机过程 : 概率模型导论"
"Introduction to probability models"@en
"Introduction to probability models"
"Introduction to Probability Models [SUPPRESSED]"
"Introduction to probability models = 应用随机过程概率模型导论"
"Introduction to probability models : International edition"
"Introduction to Probability Models"
"Introduction to Probability Models"@en
"Introduction to probability models solutions : solutions manual"@en
"Student's manual to accompany Introduction to probability models, tenth edition"@en
"Introduction to probability Models"
"Introduction to Probability Models, Student Solutions Manual (e-only) Introduction to Probability Models 10th Edition"@en
"Introduction to probability models / [Hauptbd.]"
"Introduction to probability models = Ying yong sui ji guo cheng gai liu mo xing dao lun"
"Introduction to probability models : instructor's manual"

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