Combining Probability Values from Independent Permutation Tests
A Discrete Analog of Fisher's Classical Method
Bibliographic Data
| ID | 13650600 |
|---|---|
| Authors | Paul W Mielke (Colorado State University, corresponding author), Janis E Johnston (0000-0003-1037-8237, Colorado State University), Kenneth J Berry (Colorado State University) |
| Year | 2004 |
| Volume | 95 |
| Issue | 2 |
| Pages | 449-458 |
| Publication date | 2004-10-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Psychological Reports (JOURNAL) |
| Journal identifiers | ISSN: 0033-2941 • E-ISSN: 1558-691X |
| Publisher | SAGE Publishing (PUBLISHER • US) |
| DOI | 10.2466/pr0.95.2.449-458 |
| PMID | 15587207 |
| OpenAlex | W2118174942 |
| Language | EN |
| Citations received | 1 |
| References cited | 19 |
Permutation tests are based on all possible arrangements of observed data sets. Consequently, such tests yield exact probability values obtained from discrete probability distributions. An exact nondirectional method to combine independent probability values that obey discrete probability distributions is introduced. The exact method is the discrete analog to Fisher's classical method for combining probability values from independent continuous probability distributions. If the combination of probability values includes even one probability value that obeys a sparse discrete probability distribution, then Fisher's classical method may be grossly inadequate
Convolution of probability distributions · Joint probability distribution · Permutation (music · Physics · Probability and statistics · Probability distribution · Probability mass function · Statistics · Symmetric probability distribution · Applied Mathematics · Bayesian Methods and Mixture Models · Mathematics · Probability and Statistical Research · Statistical Methods in Clinical Trials
| Citations per year | 0.04 |
|---|---|
| Citation span | 2003 - 2003 (1) |
| Highly cited | No |