Computational Probability

Part I. Introduction

1. Computational Probability
John H. Drew, Diane L. Evans, Andrew G. Glen, Lawrence M. Leemis

2. Maple for APPL
John H. Drew, Diane L. Evans, Andrew G. Glen, Lawrence M. Leemis

Part II. Algorithms for Continuous Random Variables

3. Data Structures and Simple Algorithms
John H. Drew, Diane L. Evans, Andrew G. Glen, Lawrence M. Leemis

4. Transformations of Random Variables
John H. Drew, Diane L. Evans, Andrew G. Glen, Lawrence M. Leemis

5. Bivariate Transformations of Random Variables
John H. Drew, Diane L. Evans, Andrew G. Glen, Lawrence M. Leemis

6. Products of Random Variables
John H. Drew, Diane L. Evans, Andrew G. Glen, Lawrence M. Leemis

Part III. Algorithms for Discrete Random Variables

7. Data Structures and Simple Algorithms
John H. Drew, Diane L. Evans, Andrew G. Glen, Lawrence M. Leemis

8. Sums of Independent Discrete Random Variables
John H. Drew, Diane L. Evans, Andrew G. Glen, Lawrence M. Leemis

9. Order Statistics for Random Sampling from Discrete Populations
John H. Drew, Diane L. Evans, Andrew G. Glen, Lawrence M. Leemis

Part IV. Applications

10. Reliability and Survival Analysis
John H. Drew, Diane L. Evans, Andrew G. Glen, Lawrence M. Leemis

11. Symbolic ARMA Model Analysis
John H. Drew, Diane L. Evans, Andrew G. Glen, Lawrence M. Leemis

12. Stochastic Simulation
John H. Drew, Diane L. Evans, Andrew G. Glen, Lawrence M. Leemis

13. Transient Queueing Analysis
John H. Drew, Diane L. Evans, Andrew G. Glen, Lawrence M. Leemis

14. Bayesian Applications
John H. Drew, Diane L. Evans, Andrew G. Glen, Lawrence M. Leemis

15. Other Applications
John H. Drew, Diane L. Evans, Andrew G. Glen, Lawrence M. Leemis

Keywords: Business and Management, Operation Research/Decision Theory, Statistics and Computing/Statistics Programs, Probability Theory and Stochastic Processes