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Title: Fitting Statistical Distributions: The Generalized Lambda Distribution and Generalized Bootstrap Methods by Zaven A. Karian, Edward J. Dudewicz ISBN: 1-58488-069-4 Publisher: Chapman & Hall/CRC Pub. Date: 24 May, 2000 Format: Hardcover Volumes: 1 List Price(USD): $99.95

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Average Customer Rating: 4 (2 reviews)

Rating: 3
Summary: typos
Comment: This is a review of the sample page, which misspells "bootstrap" as "bootstap" and does not predispose me to buy the book!

Rating: 5
Summary: What the "Doctor Ordered".
Comment: I do a great deal of number mashing especially for time series data. Although a Gaussian assumption is typical for a variety of reasons the really interesting stuff (IMHO) is where K.F.G.'s theory drops the ball. The GLD and its variations is very flexible in 'fitting' distributions. The exposition in this book has sufficient clarity as well as numerous examples. It is definitely slanted towards applications although there is sufficient theory that a strict empiricist can confuse themselves if they so choose. The theory is presented in a manner that I was able to 'translate' it into an EXCEL/VB application. The examples were sufficient to provide checks on the translation. Some code is also included in the book but it is for an application I do not use. Also, there are extensive tables of 'nominal' lambda values given various moments and/or quantile representations. ... In short, IMHO, the GLD should be in every numerical toolbox and the book should be on one's shelf. Good Stuff!

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