Download Ebook Pareto Distributions Second Edition (Chapman & Hall/CRC Monographs on Statistics & Applied Probability), by Barry C. Arnold
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Pareto Distributions Second Edition (Chapman & Hall/CRC Monographs on Statistics & Applied Probability), by Barry C. Arnold
Download Ebook Pareto Distributions Second Edition (Chapman & Hall/CRC Monographs on Statistics & Applied Probability), by Barry C. Arnold
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Since the publication of the first edition over 30 years ago, the literature related to Pareto distributions has flourished to encompass computer-based inference methods. Pareto Distributions, Second Edition provides broad, up-to-date coverage of the Pareto model and its extensions. This edition expands several chapters to accommodate recent results and reflect the increased use of more computer-intensive inference procedures.
New to the Second Edition
- New material on multivariate inequality
- Recent ways of handling the problems of inference for Pareto models and their generalizations and extensions
- New discussions of bivariate and multivariate income and survival models
This book continues to provide researchers with a useful resource for understanding the statistical aspects of Pareto and Pareto-like distributions. It covers income models and properties of Pareto distributions, measures of inequality for studying income distributions, inference procedures for Pareto distributions, and various multivariate Pareto distributions existing in the literature.
- Sales Rank: #1454453 in Books
- Published on: 2015-03-10
- Original language: English
- Number of items: 1
- Dimensions: 9.40" h x 1.10" w x 6.20" l, .0 pounds
- Binding: Hardcover
- 456 pages
About the Author
Barry C. Arnold is a distinguished professor in the Department of Statistics at the University of California, Riverside. Dr. Arnold is a fellow of the American Statistical Association and the Institute of Mathematical Statistics and an elected member of the International Statistical Institute.
Most helpful customer reviews
1 of 4 people found the following review helpful.
No Graphs, No Examples, and No Derivations
By Vic Dannon
Small Font that is difficult to read.
No Graphs.
Many formulas are buried in Long Paragraphs, and can be easily missed.
No Derivations. A Survey of results. But not too organized.
No numerical Examples. No examples at all.
The long paragraphs are defocusing.
Very difficult reading.
If you are seeking an answer, it will not be in this book.
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