A Computer Program for Combining Probabilities
Bibliographic Data
| ID | 20284159 |
|---|---|
| Authors | Eugene S Edgington (University of Calgary), Otto Haller (0000-0003-1202-0909, University of Calgary) |
| Year | 1983 |
| Volume | 43 |
| Issue | 3 |
| Pages | 835-837 |
| Publication date | 1983-09-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Educational and Psychological Measurement (JOURNAL) |
| Journal identifiers | ISSN: 0013-1644 • E-ISSN: 1552-3888 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/001316448304300319 |
| OpenAlex | W2013358197 |
| Language | EN |
| Citations received | 1 |
| References cited | 2 |
Probabilities from separate studies can be combined by relatively simple procedures if they are all from continuous probability distributions. If some or all of the probabilities are from discrete distributions, however, the combining may involve considerable computation. The FORTRAN program described in this paper is a general-purpose program that combines probabilities when (a) all are from continuous distributions, (b) all are from discrete distributions, or (c) some are from continuous and some from discrete distributions
Algorithm · Computation · Computer program · Convolution of probability distributions · Fortran · Probability distribution · Probability mass function · Programming language · Simple (philosophy) · Statistics · Applied Mathematics · Bayesian Modeling and Causal Inference · Computer Science · Mathematics · Statistical Methods in Clinical Trials
| Citations per year | 0.02 |
|---|---|
| Citation span | 1984 - 1984 (1) |
| Highly cited | No |