Hardbound. The chapters in this volume, written by specialists in computer science and statistics, illustrate the trend in modern statistics of basic methodology supported by the state-of-the-art computational and graphical facilities, and their applications to diverse fields of human endeavour. Specifically, the Handbook is designed to serve as a practical guide to consulting statisticians; to provide research workers with an overview of current developments in computing and indicate their possible use in statistical work; to bring the latest developments in certain areas of computing and demands for the future to the attention of computer scientists; and to promote an interface between statisticians and computer scientists for the benefit of both.
This work is a valuable guide to computer scientists, statistical consultants, computer programmers and research workers in all fields involved in data analysis.
Author(s): C. R. Rao
Edition: 1
Publisher: North-Holland
Year: 1993
Language: English
Pages: 1050
Handbook of Statistics 9: Computational Statistics......Page 1
Table of Contents......Page 3
Preface......Page 12
Contributors......Page 14
1. Algorithms......Page 17
2. Steady State Analysis of Stochastic Systems......Page 33
3. Parallel Computer Architectures......Page 85
4. Database Systems......Page 117
5. Programming Languages and Systems......Page 156
6. Algorithms and Complexity for Markov Processes......Page 184
7. Mathematical Programming - A Computational Perspective......Page 216
8. Integer Programming......Page 294
9. Numerical Aspects of Solving Linear Least Squares Problems......Page 318
10. The Total Least Squares Problem......Page 392
11. Construction of Reliable Maximum Likelihood Algorithms with Application to Logistic and Cox Regression......Page 424
12. Nonparametric Function Estimation......Page 438
13. Computation Using the QR Decomposition......Page 481
14. The EM Algorithm......Page 523
15. Analysis of Ordered Categorical Data through Appropriate Scaling......Page 535
16. Statistical Applications of Artificial Intelligence......Page 548
17. Some Aspects of Natural Language Processing......Page 590
18. Gibbs Sampling......Page 611
19. Bootstrap Methodology......Page 638
20. The Art of Computer Generation of Random Variables......Page 671
21. Jackknife Variance Estimation and Bias Reduction......Page 732
22. Designing Effective Statistical Graphs......Page 754
23. Graphical Methods for Linear Models......Page 783
24. Graphics for Time Series Analysis......Page 811
25. Graphics as Visual Language......Page 832
26. Statistical Graphics and Visualization......Page 863
27. Multivariate Statistical Visualization......Page 965
28. Graphical Methods for Process Control......Page 1005
Subject Index......Page 1026
Handbook of Statistics: Contents of Previous Volumes......Page 1042
