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...

Full description

Bibliographic Details
Main Authors: Safiih, L. Muhamad, Kamil, A. A., Md. Tap, Abu Osman
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
_version_ 1848779047737229312
author Safiih, L. Muhamad
Kamil, A. A.
Md. Tap, Abu Osman
author_facet Safiih, L. Muhamad
Kamil, A. A.
Md. Tap, Abu Osman
author_sort Safiih, L. Muhamad
building IIUM Repository
collection Online Access
description 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.
first_indexed 2025-11-14T15:11:34Z
format Article
id iium-22691
institution International Islamic University Malaysia
institution_category Local University
language English
last_indexed 2025-11-14T15:11:34Z
publishDate 2009
recordtype eprints
repository_type Digital Repository
spelling iium-226912012-03-20T06:02:15Z http://irep.iium.edu.my/22691/ Semi-parametric of sample selection model using fuzzy concepts Safiih, L. Muhamad Kamil, A. A. Md. Tap, Abu Osman T Technology (General) 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. 2009 Article PeerReviewed application/pdf en http://irep.iium.edu.my/22691/1/AOMT_Semi-parametric_of_Sample_Selection_model_Fuzzy__concepts.pdf Safiih, L. Muhamad and Kamil, A. A. and Md. Tap, Abu Osman (2009) Semi-parametric of sample selection model using fuzzy concepts. Journal of Modern Applied Statistical Methods, 8 (2). pp. 1-13. ISSN 1538 – 9472
spellingShingle T Technology (General)
Safiih, L. Muhamad
Kamil, A. A.
Md. Tap, Abu Osman
Semi-parametric of sample selection model using fuzzy concepts
title Semi-parametric of sample selection model using fuzzy concepts
title_full Semi-parametric of sample selection model using fuzzy concepts
title_fullStr Semi-parametric of sample selection model using fuzzy concepts
title_full_unstemmed Semi-parametric of sample selection model using fuzzy concepts
title_short Semi-parametric of sample selection model using fuzzy concepts
title_sort semi-parametric of sample selection model using fuzzy concepts
topic T Technology (General)
url http://irep.iium.edu.my/22691/
http://irep.iium.edu.my/22691/1/AOMT_Semi-parametric_of_Sample_Selection_model_Fuzzy__concepts.pdf