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...

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Main Authors:	Safiih, L. Muhamad, Kamil, A. A., Md. Tap, Abu Osman
Format:	Article
Language:	English
Published:	2009
Subjects:	T Technology (General)
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

id	iium-22691
recordtype	eprints
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
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	T Technology (General)
spellingShingle	T Technology (General) Safiih, L. Muhamad Kamil, A. A. Md. Tap, Abu Osman Semi-parametric of sample selection model using fuzzy concepts
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.
format	Article
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
title	Semi-parametric of sample selection model using fuzzy concepts
title_short	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_sort	semi-parametric of sample selection model using fuzzy concepts
publishDate	2009
url	http://irep.iium.edu.my/22691/ http://irep.iium.edu.my/22691/1/AOMT_Semi-parametric_of_Sample_Selection_model_Fuzzy__concepts.pdf
first_indexed	2023-09-18T20:34:32Z
last_indexed	2023-09-18T20:34:32Z
_version_	1777408957748346880

Semi-parametric of sample selection model using fuzzy concepts

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