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Fuzzy parametric and fuzzy semi-parametric sample selection models

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dc.contributor.author Muhamad Safiih Lola
dc.date.accessioned 2017-03-30T00:47:35Z
dc.date.available 2017-03-30T00:47:35Z
dc.date.issued 2011
dc.identifier.uri http://hdl.handle.net/123456789/5090
dc.description.abstract In 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.language.iso en en_US
dc.publisher [Pulau Pinang]: Universiti Sains Malaysia en_US
dc.relation.ispartofseries TA 342 .M8 2011;
dc.subject TA 342 .M8 2011 en_US
dc.subject Muhamad Safiih Lola en_US
dc.subject Tesis Universiti Sains Malaysia 2011 en_US
dc.subject Mathematical models en_US
dc.subject Monte Carlo method en_US
dc.title Fuzzy parametric and fuzzy semi-parametric sample selection models en_US
dc.type Thesis en_US


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