Simple General Approximations for a Random Variable and its Inverse Distribution Function Based on Linear Transformations of a Nonskewed Variate-Reference-Cited by-同舟云学术

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Simple General Approximations for a Random Variable and its Inverse Distribution Function Based on Linear Transformations of a Nonskewed Variate

Published:1986-01 Issue:1 Volume:7 Page:1-23
ISSN:0196-5204
Container-title:SIAM Journal on Scientific and Statistical Computing
language:en
Short-container-title:SIAM J. Sci. and Stat. Comput.

Author:

Shore Haim

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Link

http://epubs.siam.org/doi/pdf/10.1137/0907001

Reference6 articles.

1. Accurate Normalizing Transformations of a Student's t Variate

2. Moments and Cumulants in the Specification of Distributions

3. Simple Approximations for the Inverse Cumulative Function, the Density Function and the Loss Integral of the Normal Distribution

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