Semi-parametric of sample selection model using fuzzy concepts
The sample selection model has been studied in the context of semi-parametric methods. With the deficiencies of the parametric model, such as inconsistent estimators, semi-parametric estimation methods provide better alternatives. This article focuses on the context of fuzzy concepts as a hybrid t...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
2009
|
| Subjects: | |
| Online Access: | http://irep.iium.edu.my/22691/ http://irep.iium.edu.my/22691/1/AOMT_Semi-parametric_of_Sample_Selection_model_Fuzzy__concepts.pdf |
| Summary: | The sample selection model has been studied in the context of semi-parametric methods. With the
deficiencies of the parametric model, such as inconsistent estimators, semi-parametric estimation methods
provide better alternatives. This article focuses on the context of fuzzy concepts as a hybrid to the semiparametric
sample selection model. The better approach when confronted with uncertainty and ambiguity
is to use the tools provided by the theory of fuzzy sets, which are appropriate for modeling vague
concepts. A fuzzy membership function for solving uncertainty data of a semi-parametric sample
selection model is introduced as a solution to the problem. |
|---|