A Note on Computing Extreme Tail Probabilities of the Noncentral T
Distribution with Large Noncentrality Parameter
V. Witkovsky. (2013)cite arxiv:1306.5294Comment: Preprint submitted to Acta Universitatis Palackianae Olomucensis, Facultas rerum naturalium, Mathematica, submitted June 21, 2013, revised September 4, 2013.
Abstract
The noncentral $t$-distribution is a generalization of the Student's
$t$-distribution. In this paper we suggest an alternative approach for
computing the cumulative distribution function (CDF) of the noncentral
$t$-distribution which is based on a direct numerical integration of a well
behaved function. With a double-precision arithmetic, the algorithm provides
highly precise and fast evaluation of the extreme tail probabilities of the
noncentral $t$-distribution, even for large values of the noncentrality
parameter $\delta$ and the degrees of freedom $\nu$. The implementation of the
algorithm is available at the MATLAB Central, File Exchange:
http://www.mathworks.com/matlabcentral/fileexchange/41790-nctcdfvw.
Description
A Note on Computing Extreme Tail Probabilities of the Noncentral T
Distribution with Large Noncentrality Parameter
cite arxiv:1306.5294Comment: Preprint submitted to Acta Universitatis Palackianae Olomucensis, Facultas rerum naturalium, Mathematica, submitted June 21, 2013, revised September 4, 2013
%0 Generic
%1 witkovsky2013computing
%A Witkovsky, Viktor
%D 2013
%K distributions t
%T A Note on Computing Extreme Tail Probabilities of the Noncentral T
Distribution with Large Noncentrality Parameter
%U http://arxiv.org/abs/1306.5294
%X The noncentral $t$-distribution is a generalization of the Student's
$t$-distribution. In this paper we suggest an alternative approach for
computing the cumulative distribution function (CDF) of the noncentral
$t$-distribution which is based on a direct numerical integration of a well
behaved function. With a double-precision arithmetic, the algorithm provides
highly precise and fast evaluation of the extreme tail probabilities of the
noncentral $t$-distribution, even for large values of the noncentrality
parameter $\delta$ and the degrees of freedom $\nu$. The implementation of the
algorithm is available at the MATLAB Central, File Exchange:
http://www.mathworks.com/matlabcentral/fileexchange/41790-nctcdfvw.
@misc{witkovsky2013computing,
abstract = {The noncentral $t$-distribution is a generalization of the Student's
$t$-distribution. In this paper we suggest an alternative approach for
computing the cumulative distribution function (CDF) of the noncentral
$t$-distribution which is based on a direct numerical integration of a well
behaved function. With a double-precision arithmetic, the algorithm provides
highly precise and fast evaluation of the extreme tail probabilities of the
noncentral $t$-distribution, even for large values of the noncentrality
parameter $\delta$ and the degrees of freedom $\nu$. The implementation of the
algorithm is available at the MATLAB Central, File Exchange:
http://www.mathworks.com/matlabcentral/fileexchange/41790-nctcdfvw.},
added-at = {2015-02-05T16:01:31.000+0100},
author = {Witkovsky, Viktor},
biburl = {https://www.bibsonomy.org/bibtex/29d7cfa3df0585e9354c6c1ae0dcd6864/shabbychef},
description = {A Note on Computing Extreme Tail Probabilities of the Noncentral T
Distribution with Large Noncentrality Parameter},
interhash = {2de31463ac7e4c3caafbde74ab3f0afb},
intrahash = {9d7cfa3df0585e9354c6c1ae0dcd6864},
keywords = {distributions t},
note = {cite arxiv:1306.5294Comment: Preprint submitted to Acta Universitatis Palackianae Olomucensis, Facultas rerum naturalium, Mathematica, submitted June 21, 2013, revised September 4, 2013},
timestamp = {2015-02-05T16:01:31.000+0100},
title = {A Note on Computing Extreme Tail Probabilities of the Noncentral T
Distribution with Large Noncentrality Parameter},
url = {http://arxiv.org/abs/1306.5294},
year = 2013
}