Computing discrete mixtures of continuous distributions: noncentral chisquare, noncentral t and the distribution of the square of the sample multiple correlation coefficient-Reference-Cited by-同舟云学术

Computing discrete mixtures of continuous distributions: noncentral chisquare, noncentral t and the distribution of the square of the sample multiple correlation coefficient

Published:2003-06 Issue:2 Volume:43 Page:249-267
ISSN:0167-9473
Container-title:Computational Statistics & Data Analysis
language:en
Short-container-title:Computational Statistics & Data Analysis

Author:

Benton Denise,Krishnamoorthy K.

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Theory and Mathematics,Computational Mathematics,Statistics and Probability

Reference22 articles.

1. Handbook of Mathematical Functions;Abramovitz,1964

2. Benton, D., Krishnamoorthy, K., Mathew, T., 2002. Inferences in multivariate-univariate calibration problems. The Statistician (JRSS-D), to appear.

3. Computing the noncentral beta distribution function;Chattamvelli;Appl. Statist.,1997

4. Note on the distribution of noncentral t with an application;Craig;Ann. Math. Statist.,1942

5. Computing the noncentral χ2 distribution function;Ding;Appl. Statist.,1992

Cited by 47 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Pricing levered warrants under the CEV diffusion model;Review of Derivatives Research;2024-01-11

2. Reallocation of time between preschoolers’ 24-h movement behaviours and executive functions: A compositional data analysis;Journal of Sports Sciences;2023-06-18

3. Computing the noncentrality parameter to the distribution of the square of the sample multiple correlation coefficient;Chilean Journal of Statistics;2022-12

4. Computation of cumulative density of noncentral chi-square distribution in Excel;The Quantitative Methods for Psychology;2022-10-01

5. Extracting product competitiveness through user-generated content: A hybrid probabilistic inference model;Journal of King Saud University - Computer and Information Sciences;2022-06