[R] How to compute a P-value for a complex mixture of chi-squared distributions in R
pdalgd at gmail.com
Sat Jun 1 15:57:17 CEST 2013
On Jun 1, 2013, at 06:32 , Tiago V. Pereira wrote:
> Hello, R users!
> I am struggling with the following problem:
> I need to compute a P-value for a mixture of two chi-squared
> distributions. My P-value is given by:
> P = 0.5*prob(sqrt(chi2(1)) <= x) + 0.5*prob(sqrt(chi2(2)) <= x)
> In words, I need to compute the p-value for 50–50 mixture of the square
> root of a chi-squared random variable with 1 degree of freedom and the
> square root of a chi-squared with two degrees of freedom.
> Although I can quickly simulate data, the P-values I am looking for are at
> the tail of the distribution, that is, alpha levels below 10^-7. Hence,
> simulation is not efficient.
> Are you aware of smart approach?
Anything wrong with
0.5 * pchisq(x^2, 1) + 0.5 * pchisq(x^2, 2)
> All the best,
> R-help at r-project.org mailing list
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
Peter Dalgaard, Professor,
Center for Statistics, Copenhagen Business School
Solbjerg Plads 3, 2000 Frederiksberg, Denmark
Email: pd.mes at cbs.dk Priv: PDalgd at gmail.com
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