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Ill-Posed Problems in Probability and Stability of Random Sums

Lev Klebanov, Tomasz J. Kozubowski, and Svetlozar T. Rachev
Publisher: 
Nova Science
Publication Date: 
2006
Number of Pages: 
435
Format: 
Hardcover
Price: 
89.00
ISBN: 
9781600212628
Category: 
Monograph
We do not plan to review this book.

PART I - QUANTITATIVE CONVERGENCE CRITERIA AND PROBABILITY METRICS

Chapter 1 - The General Form of Quantitative Convergence Criteria;
pp. 5-25

Chapter 2 - Some Important New Classes of Probability Metrics;
pp. 27-76

Chapter 3 - Convergence in Weak and Strong Metrics; pp. 77-152

Chapter 4 - Convergence to Prescribed Distributions; pp. 153-182

Chapter 5 - Ill-Posed Problems in Computer Tomography; pp. 183-193


PART II - LIMIT THEOREMS AND STABILITY OF RANDOM SUMS

Chapter 6 - Stable Probabilistic Schemes; pp. 199-209

Chapter 7 - Central Pre-Limit Theorems; pp. 211-217

Chapter 8 - Infinitely Divisible and Stable Distributions;
pp. 219-260

Chapter 9 - Geometric Stable Distributions on the Real Line;
pp. 260-318

Chapter 10 - Multivariate Geometric Stable Distributions;
pp. 319-353

Chapter 11 - Geometric Stable Laws on Banach Space; pp. 355-362

Chapter 12 - Estimation and Empirical Issues for GS Distributions; pp. 363-374

Chapter 13 - A Generalization of Stable Laws; pp. 375-383

Chapter 14 - Characterizations of Distributions in Reliability;
pp. 385-393

Bibliography

Author Index

Index