Simulation /
Ross, Sheldon M.,
Simulation / Sheldon M. Ross. - Sixth edition. - London, United Kingdom : Academic Press, an imprint of Elsevier, 2023. - xii, 320 pages : illustrations ; 24 cm.
Previous edition: 2013.
Includes bibliographical references and index.
1 : Introduction -- 2 : Elements of probability -- 3 : Random numbers -- 4 : Generating discrete random variables -- 5 : Generating continuous random variables -- 6 : The multivariate normal distribution and copulas -- 7 : The discrete event simulation approach -- 8 : Statistical analysis of simulated data -- 9 : Variance reduction techniques -- 10 : Additional variance reduction techniques -- 11 : Statistical validation techniques -- 12 : Markov chain Monte Carlo methods
Simulation, Sixth Edition 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 will learn to apply the results of these analyses to problems in a wide variety of fields to obtain effective, accurate solutions and make predictions. 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, this book presents the statistics needed to analyze simulated data and validate simulation models. --
9780323857390 0323857396
2023385132
GBC2D9487 bnb
020708370 Uk
020708370 Uk
020708370 Uk
020708370 Uk
020708370 Uk
020708370 Uk
020708370 Uk
020708370 Uk
QA 273 / .R82 2023
519.2
Simulation / Sheldon M. Ross. - Sixth edition. - London, United Kingdom : Academic Press, an imprint of Elsevier, 2023. - xii, 320 pages : illustrations ; 24 cm.
Previous edition: 2013.
Includes bibliographical references and index.
1 : Introduction -- 2 : Elements of probability -- 3 : Random numbers -- 4 : Generating discrete random variables -- 5 : Generating continuous random variables -- 6 : The multivariate normal distribution and copulas -- 7 : The discrete event simulation approach -- 8 : Statistical analysis of simulated data -- 9 : Variance reduction techniques -- 10 : Additional variance reduction techniques -- 11 : Statistical validation techniques -- 12 : Markov chain Monte Carlo methods
Simulation, Sixth Edition 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 will learn to apply the results of these analyses to problems in a wide variety of fields to obtain effective, accurate solutions and make predictions. 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, this book presents the statistics needed to analyze simulated data and validate simulation models. --
9780323857390 0323857396
2023385132
GBC2D9487 bnb
020708370 Uk
020708370 Uk
020708370 Uk
020708370 Uk
020708370 Uk
020708370 Uk
020708370 Uk
020708370 Uk
QA 273 / .R82 2023
519.2