Logo

Non-Uniform Random Variate Generation

Large book cover: Non-Uniform Random Variate Generation

Non-Uniform Random Variate Generation
by

Publisher: Springer
ISBN/ASIN: 0387963057
ISBN-13: 9780387963051
Number of pages: 843

Description:
This text is about one small field on the crossroads of statistics, operations research and computer science. Statisticians need random number generators to test and compare estimators before using them in real life. In operations research, random numbers are a key component in large scale simulations. Computer scientists need randomness in program testing, game playing and comparisons of algorithms.

Home page url

Download or read it online for free here:
Download link
(37MB, ZIP/PDF)

Download mirrors:
Mirror 1

Similar books

Book cover: An Introduction to Stochastic PDEsAn Introduction to Stochastic PDEs
by - arXiv
This text is an attempt to give a reasonably self-contained presentation of the basic theory of stochastic partial differential equations, taking for granted basic measure theory, functional analysis and probability theory, but nothing else.
(8882 views)
Book cover: Principles of Data AnalysisPrinciples of Data Analysis
by - Prasenjit Saha
This is a short book about the principles of data analysis. The emphasis is on why things are done rather than on exactly how to do them. If you already know something about the subject, then working through this book will deepen your understanding.
(9110 views)
Book cover: CK-12 Basic Probability and Statistics: A Short CourseCK-12 Basic Probability and Statistics: A Short Course
by - CK-12.org
CK-12 Foundation's Basic Probability and Statistics– A Short Course is an introduction to theoretical probability and data organization. Students learn about events, conditions, random variables, and graphs and tables that allow them to manage data.
(15348 views)
Book cover: Bayesian Spectrum Analysis and Parameter EstimationBayesian Spectrum Analysis and Parameter Estimation
by - Springer
This work is a research document on the application of probability theory to the parameter estimation problem. The people who will be interested in this material are physicists, economists, and engineers who have to deal with data on a daily basis.
(11892 views)