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Fitting Statistical Distributions
The Generalized Lambda Distribution and Generalized Bootstrap Methods
- By Zaven A. Karian, Edward J. Dudewicz
About the Book
Although the study of statistical modelling has made great strides in recent years, the number and variety of distributions to choose from continue to create problems. . Focusing on techniques used successfully across many fields, Fitting Statistical Distributions presents all of the relevant results related to the Generalized Lambda Distribution, the Generalized Bootstrap, and Monte Carlo simulation. It provides the tables, algorithms, and computer programs needed for fitting continuous probability distributions to data in a wide variety of circumstances-covering bivariate as well as univariate distributions, and including situations where moments do not exist.
Table of Contents
The Generalized Lambda Family of Distributions. Fitting Distributions and Data with the GLD via the Method of Moments. The Extended GLD System, the EGLD: Fitting by the Method of Moments. A Percentile-Based Approach to Fitting Distributions and Data with the GLD. GLD-2: the Bivariate GLD Distribution. The Generalized Bootstrap (GB) and Monte Carlo (MC) Methods. Appendices
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