The problem of separation in logistic regression, a solution and an application
Logistic regression is one of the most used statistical techniques for explaining the probabilistic behavior of a given phenomenon. Data separation is a frequent problem in this model, as successes appear separated from failures and make it impossible to find the maximum likelihood estimators. Objec...
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| Format: | Book |
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Universidad de Antioquia,
2011-07-01T00:00:00Z.
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