A comparison of algorithms for exact analysis of unordered \(2\times K\) contingency tables
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Publication:672067
DOI10.1016/0167-9473(94)00021-2zbMath0875.62239OpenAlexW2078182342MaRDI QIDQ672067
Timothy D. Johnson, Karim F. Hirji
Publication date: 27 February 1997
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0167-9473(94)00021-2
FFTLikelihood ratio statisticPearson chi-square statisticExact conditional inferenceHypergeometric probabilityNetwork algorithmRecursive polynomial multiplication
Related Items (8)
Small-sample study of the use of mid-ppower divergence goodness-of-fit tests ⋮ Exact null distributions of distribution-free quadratic \(t\)-sample statistics ⋮ Assessing fast Fourier transform algorithms. ⋮ An efficient algorithm for the exact test on unordered \(2\times\)J contingency tables with equal column sums ⋮ A review and a synthesis of the fast Fourier transform algorithms for exact analysis of discrete data ⋮ Exact inference on stratified two-stage Markov chain models. ⋮ A comparison of algorithms for exact goodness-of-fit tests for multinomial data ⋮ A major improvement to the network algorithm for Fisher's exact test in \(2\times c\) contingency tables
Uses Software
Cites Work
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- ALGORITHM 643
- A Network Algorithm for Performing Fisher's Exact Test in r × c Contingency Tables
- A survey of algorithms for exact distributions of test statistics in r\(\times c\) contingency tables with fixed margins
- A survey of exact inference for contingency tables. With comments and a rejoinder by the author
- On Obtaining Permutation Distributions in Polynomial Time
- Computing an Exact Confidence Interval for the Common Odds Ratio in Several 2 × 2 Contingency Tables
- A network algorithm for the exact treatment of the 2×k contingency table
- An Algorithm for Finding the Exact Significance Levels of r × c Contingency Tables
- Methods for Exact Goodness-of-Fit Tests
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