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  2. Fisher's exact test - Wikipedia

    en.wikipedia.org/wiki/Fisher's_exact_test

    Fisher's exact test (also Fisher-Irwin test) is a statistical significance test used in the analysis of contingency tables. [ 1 ] [ 2 ] [ 3 ] Although in practice it is employed when sample sizes are small, it is valid for all sample sizes.

  3. Contingency table - Wikipedia

    en.wikipedia.org/wiki/Contingency_table

    The significance of the difference between the two proportions can be assessed with a variety of statistical tests including Pearson's chi-squared test, the G-test, Fisher's exact test, Boschloo's test, and Barnard's test, provided the entries in the table represent individuals randomly sampled from the population about which conclusions are to ...

  4. Barnard's test - Wikipedia

    en.wikipedia.org/wiki/Barnard's_test

    Under pressure from Fisher, Barnard retracted his test in a published paper, [8] however many researchers prefer Barnard’s exact test over Fisher's exact test for analyzing 2 × 2 contingency tables, [9] since its statistics are more powerful for the vast majority of experimental designs, whereas Fisher’s exact test statistics are conservative, meaning the significance shown by its p ...

  5. Exact test - Wikipedia

    en.wikipedia.org/wiki/Exact_test

    Fisher's exact test, based on the work of Ronald Fisher and E. J. G. Pitman in the 1930s, is exact because the sampling distribution (conditional on the marginals) is known exactly. This should be compared with Pearson's chi-squared test , which (although it tests the same null) is not exact because the distribution of the test statistic is ...

  6. Boschloo's test - Wikipedia

    en.wikipedia.org/wiki/Boschloo's_test

    Fisher's exact test is a conditional test and appropriate for the first of the above mentioned cases. But if we treat the observed column sum s 1 {\displaystyle s_{1}} as fixed in advance, Fisher's exact test can also be applied to the second case.

  7. Scoring algorithm - Wikipedia

    en.wikipedia.org/wiki/Scoring_algorithm

    Scoring algorithm, also known as Fisher's scoring, [1] is a form of Newton's method used in statistics to solve maximum likelihood equations numerically, named after Ronald Fisher. Sketch of derivation

  8. Fisher's method - Wikipedia

    en.wikipedia.org/wiki/Fisher's_method

    In statistics, Fisher's method, [1] [2] also known as Fisher's combined probability test, is a technique for data fusion or "meta-analysis" (analysis of analyses). It was developed by and named for Ronald Fisher. In its basic form, it is used to combine the results from several independence tests bearing upon the same overall hypothesis (H 0).

  9. Fisher test - Wikipedia

    en.wikipedia.org/wiki/Fisher_test

    Fisher test may refer to: Fisher's exact test, a statistical significance test; Miller Fisher test, a medical diagnostic procedure This page was last edited on 28 ...