An efficient algorithm for computing the noncentrality parameters of chi-squared tests
From MaRDI portal
Publication:4844122
DOI10.1080/03610919408813204zbMath0825.62050OpenAlexW1993822349MaRDI QIDQ4844122
Publication date: 20 August 1995
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610919408813204
Related Items (2)
On using newton's method for computing the noncentrality parameter of the noncentral f distribution ⋮ An efficient algorithm for computing quantiles of the noncentral chi-squared distribution.
Uses Software
Cites Work
- Unnamed Item
- Approximations to noncentral distributions
- Algorithm AS 245: A Robust and Reliable Algorithm for the Logarithm of the Gamma Function
- Algorithm AS 231: The Distribution of a Noncentral Χ 2 Variable with Nonnegative Degrees of Freedom
- On the Computation of Non-Central Chi-Square Distribution Function
- A Note on Computing the Noncentrality Parameter of the Noncentral F-Distribution
- Power and Sample Size for Approximate Chi-Square Tests
This page was built for publication: An efficient algorithm for computing the noncentrality parameters of chi-squared tests