Fuzzy parametric and fuzzy semi-parametric sample selection models

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dc.contributor.authorMuhamad Safiih Lola
dc.date.accessioned2017-03-30T00:47:35Z
dc.date.available2017-03-30T00:47:35Z
dc.date.issued2011
dc.description.abstractIn the past thirty decade, regression model has received considerable attention and has been shown to be successful if applied together with other models. One of the most successful models is the sample selection model or the selectivity model. This model is a combination of the probit and regression models. The earlier studies on this model focused on the parametric approach.en_US
dc.identifier.urihttp://hdl.handle.net/123456789/5090
dc.language.isoenen_US
dc.publisher[Pulau Pinang]: Universiti Sains Malaysiaen_US
dc.relation.ispartofseriesTA 342 .M8 2011;
dc.subjectTA 342 .M8 2011en_US
dc.subjectMuhamad Safiih Lolaen_US
dc.subjectTesis Universiti Sains Malaysia 2011en_US
dc.subjectMathematical modelsen_US
dc.subjectMonte Carlo methoden_US
dc.titleFuzzy parametric and fuzzy semi-parametric sample selection modelsen_US
dc.typeThesisen_US
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