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Fitting Statistical Distributions : The Generalized Lambda Distribution and Generalized Bootstrap Methods by Zaven A. Karian, Edward J. Dudewicz, Zaven A Karian is a nonfiction available to read on EtoBox.

What is Fitting Statistical Distributions : The Generalized Lambda Distribution and Generalized Bootstrap Methods about?

Throughout the physical and social sciences, researchers face the challenge of fitting statistical distributions to their data. Although the study of statistical modelling has made great strides in recent years, the number and variety of distributions to choose from-all with their own formulas, tables, diagrams, and general properties-continue to create problems. For a specific application, which of the dozens of distributions should one use? What if none of them fit well? Fitting Statistical Distributions helps answer those questions. Focusing on techniques used successfully across many fields, the authors present all of the relevant results related to the Generalized Lambda Distribution (GLD), the Generalized Bootstrap (GB), and Monte Carlo simulation (MC). They provide 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. Regardless of your specific field-physical science, social science, or statistics, practitioner or theorist-Fitting Statistical Distributions is required reading.

Who reads Fitting Statistical Distributions : The Generalized Lambda Distribution and Generalized Bootstrap Methods?

Author

Zaven A. Karian, Edward J. Dudewicz, Zaven A Karian

Publisher

Chapman and Hall/CRC

Published

2000

Language

EN

ISBN

9781420038040

Category

nonfiction

Subjects

Mathematics, Economics, Stem