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                                       Details for article 5 of 7 found articles
 
 
  On approximating the non-central wishart distribution by central wishart distribution a monte carlo study
 
 
Title: On approximating the non-central wishart distribution by central wishart distribution a monte carlo study
Author: Tan, W. Y.
Gupta, R. P.
Appeared in: Communications in statistics
Paging: Volume 11 (1982) nr. 1 pages 47-64
Year: 1982
Contents: This paper provides a Monte Carlo study of approximating the non-central Wishart distribution by Central Wishart distribution by mean of 1. Multivariate Gram-Chalier expansion and 2. Laguerre polynomial expansion. For assessing the closeness of these approximations, 1,000 independent 2×2 non-central Wishart matrices are generated by computer. The numerical results indicate that the multivariate Gram-Chalier expansion provides a close approximation to the non-central Wishart distribution as long as the correlation coefficient is less than 0.8. Also, it appears that the Gram-Chalier expansion approximation is better than the Laguerre polynomial expansion approximation when the probability values are large.
Publisher: Taylor & Francis
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 5 of 7 found articles
 
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