Bootstrapping Pseudo- Measures for Binary Response Variable Model | ||
| Economic Sciences | ||
| Article 1, Volume 8, Issue 31, September 2013, Pages 220-230 PDF (0 K) | ||
| Author | ||
| Lecturer. Zakariya Y. Algamal | ||
| Abstract | ||
| Statistical inference is based generally on some estimates that are functions of the data. Bootstrapping procedure offers strategies to estimate or approximate the sampling distribution of a statistic. Logistics regression model with binary response is commonly used. This paper focus on the behavior of bootstrapping pseudo- measures in logistic regression model. Simulation and real data results also presented. We conclude and suggest to use either or , since they have convergence in there values. | ||
| Keywords | ||
| Logistic regression; Pseudo; Bootstrap; Logit; Propit | ||
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