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Restricted Mixture Linear Regression Models: Estimation, Power and Sample Size Calculations

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dc.contributor.author Yang, Zhongming. en_US
dc.date.accessioned 2009-04-06T14:04:06Z en_US
dc.date.accessioned 2015-04-24T14:50:56Z
dc.date.available 2009-04-06T14:04:06Z en_US
dc.date.available 2015-04-24T14:50:56Z
dc.date.issued 2007-05-01
dc.identifier.uri http://hdl.handle.net/11401/72169 en_US
dc.identifier.uri http://hdl.handle.net/1951/44745 en_US
dc.description.sponsorship This work is sponsored by the Stony Brook University Graduate School in compliance with the requirements for completion of degree. en_US
dc.format Monograph en_US
dc.format.medium Electronic Resource en_US
dc.language.iso en_US en_US
dc.publisher The Graduate School, Stony Brook University: Stony Brook, NY. en_US
dc.subject.other restricted mixture linear regression models en_US
dc.subject.other RMLRM en_US
dc.subject.other Expectation-Maximization algorithm en_US
dc.subject.other EM algorithm en_US
dc.subject.other mixture intercept model en_US
dc.subject.other MIM en_US
dc.subject.other mixture mechanisms en_US
dc.subject.other linear regression models en_US
dc.title Restricted Mixture Linear Regression Models: Estimation, Power and Sample Size Calculations en_US
dc.type Thesis en_US
dc.mimetype Application/PDF en_US


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