Simulation Methodology for Statisticians, Operations Analysts, and Engineers (1988)
Title | Simulation Methodology for Statisticians, Operations Analysts, and Engineers (1988) PDF eBook |
Author | P. W. A. Lewis |
Publisher | CRC Press |
Pages | 434 |
Release | 2017-11-22 |
Genre | Business & Economics |
ISBN | 1351357751 |
Students of statistics, operations research, and engineering will be informed of simulation methodology for problems in both mathematical statistics and systems simulation. This discussion presents many of the necessary statistical and graphical techniques. A discussion of statistical methods based on graphical techniques and exploratory data is among the highlights of Simulation Methodology for Statisticians, Operations Analysts, and Engineers. For students who only have a minimal background in statistics and probability theory, the first five chapters provide an introduction to simulation.
Simulation Methodology for Statisticians, Operations Analysts, and Engineers
Title | Simulation Methodology for Statisticians, Operations Analysts, and Engineers PDF eBook |
Author | P. W. A. Lewis |
Publisher | CRC Press |
Pages | 442 |
Release | 1988-12-01 |
Genre | Business & Economics |
ISBN | 9780534094508 |
Students of statistics, operations research, and engineering will be informed of simulation methodology for problems in both mathematical statistics and systems simulation. This discussion presents many of the necessary statistical and graphical techniques. A discussion of statistical methods based on graphical techniques and exploratory data is among the highlights of Simulation Methodology for Statisticians, Operations Analysts, and Engineers. For students who only have a minimal background in statistics and probability theory, the first five chapters provide an introduction to simulation.
Simulation Methodology for Statisticians, Operations Analysts, and Engineers
Title | Simulation Methodology for Statisticians, Operations Analysts, and Engineers PDF eBook |
Author | P. W. A. Lewis |
Publisher | Chapman and Hall/CRC |
Pages | 416 |
Release | 1988-12-01 |
Genre | Business & Economics |
ISBN | 9780534094508 |
Students of statistics, operations research, and engineering will be informed of simulation methodology for problems in both mathematical statistics and systems simulation. This discussion presents many of the necessary statistical and graphical techniques. A discussion of statistical methods based on graphical techniques and exploratory data is among the highlights of Simulation Methodology for Statisticians, Operations Analysts, and Engineers. For students who only have a minimal background in statistics and probability theory, the first five chapters provide an introduction to simulation.
Simulation Methodology for Statisticians, Operations Analysts, and Engineers
Title | Simulation Methodology for Statisticians, Operations Analysts, and Engineers PDF eBook |
Author | Peter A. Lewis |
Publisher | |
Pages | 0 |
Release | 1989 |
Genre | |
ISBN |
Revival
Title | Revival PDF eBook |
Author | Taylor & Francis Group |
Publisher | |
Pages | |
Release | 2018-12-31 |
Genre | |
ISBN | 9781138561878 |
Simulation Methodology for Statisticians, Operations
Title | Simulation Methodology for Statisticians, Operations PDF eBook |
Author | |
Publisher | |
Pages | |
Release | 1989 |
Genre | |
ISBN |
Design and Analysis of Simulation Experiments
Title | Design and Analysis of Simulation Experiments PDF eBook |
Author | Sergey Ermakov |
Publisher | Springer Science & Business Media |
Pages | 218 |
Release | 1995-07-31 |
Genre | Science |
ISBN | 9780792336624 |
This book is devoted to a new branch of experimental design theory called simulation experimental design. There are many books devoted either to the theory of experimental design or to system simulation techniques, but in this book an approach to combine both fields is developed. Especially the mathematical theory of such universal variance reduction techniques as splitting and Russian Roulette is explored. The book contains a number of results on regression design theory related to nonlinear problems, the E-optimum criterion and designs which minimize bias. Audience: This volume will be of value to readers interested in systems simulation, applied statistics and numerical methods with basic knowledge of applied statistics and linear algebra.