

Automatic Nonuniform Random Variate Generation by Josef Leydold
Non-uniform random variate generation is an established research area in the intersection of mathematics, statistics and computer science. Although random variate generation with popular standard distributions have become part of every course on discrete event simulation and on Monte Carlo methods, the recent concept of universal (also called automatic or black-box) random variate generation can only be found dispersed in literature. This new concept has great practical advantages that are little known to most simulation practitioners. Being unique in its overall organization the book covers not only the mathematical and statistical theory, but also deals with the implementation of such methods. All algorithms introduced in the book are designed for practical use in simulation and have been coded and made available by the authors. Examples of possible applications of the presented algorithms (including option pricing, VaR and Bayesian statistics) are presented at the end of the book.
-
Introductory Statistics with R
-
R for SAS and SPSS Users
-
Mixed-Effects Models in S and S-PLUS
-
The Grammar of Graphics
-
An Introduction to Statistics with Python
-
Developing Statistical Software in Fortran 95
-
Software for Data Analysis
-
Basic Elements of Computational Statistics
-
Modern Applied Statistics with S-PLUS
-
Modern Applied Statistics with S
-
SAS for Data Analysis
-
Visualizing Time
-
Evolutionary Statistical Procedures
-
XploRe: An Interactive Statistical Computing Environment
-
Computer Intensive Methods in Statistics
-
Local Regression and Likelihood
-
Numerical Analysis for Statisticians
-
Numerical Linear Algebra for Applications in Statistics
-
Elements of Network Science
-
Independent Random Sampling Methods
-
Graphics of Large Datasets
-
S Programming
-
Computational Statistics
-
Branch-and-Bound Applications in Combinatorial Data Analysis
-
The R Software
-
Random Number Generation and Monte Carlo Methods
-
Elements of Computational Statistics
-
A SAS/IML Companion for Linear Models
-
Applied Quantitative Finance
-
Visualization and Imputation of Missing Values
-
Fundamentals of Supervised Machine Learning
-
Variowin
-
Numerical Bayesian Methods Applied to Signal Processing
| SKU | Unavailable |
| ISBN 13 | |
| ISBN 10 | |
| Title | Automatic Nonuniform Random Variate Generation |
| Author | Josef Leydold |
| Series | |
| Condition | Unavailable |
| Binding Type | |
| Publisher | |
| Year published | |
| Number of pages | |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |
View All Editions
Applied Filters (0)
Sort by:
Loading editions...


































