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Algorithms for approximate conditional inference |
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| Authors: | Kolassa John E |
| Institution: | (1) Department of Statistics, Rutgers University, Piscataway, NJ 08855, USA |
| Abstract: | This paper presents a method for listing the sample space for a conditional distribution in a discrete generalized linear model. This tabulation is used in conjunction with saddlepoint methods to approximate the associated conditional probabilities. These probabilities are used to calculate conditional p-values. |
| Keywords: | exact conditional inference saddlepoint approximations canonical exponential family linear programming significance testing |
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