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The effect of random dosages on probit analysisMorrill, Bruce January 2010 (has links)
Typescript (photocopy). / Digitized by Kansas Correctional Industries
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Likelihood analysis of the multivariate ordinal probit model for repeated and spatial ordered categorical responses /Li, Yonghai. January 1900 (has links)
Thesis (Ph. D.)--Oregon State University, 2007. / Printout. Includes bibliographical references (leaves 61-65). Also available on the World Wide Web.
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Qualitative response models theory and its application to forestry /Arabatzis, Alexandros A., January 1990 (has links)
Thesis (Ph. D.)--Virginia Polytechnic Institute and State University, 1990. / Vita. Abstract. Includes bibliographical references (leaves 203-211). Also available via the Internet.
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Discrete brand choice models analysis and applications /Zhu, Liyu. January 2007 (has links)
Thesis (Ph. D.)--Industrial and Systems Engineering, Georgia Institute of Technology, 2008. / Esogbue, Augustine, Committee Chair ; Griffin, Paul, Committee Member ; Lu, Jye-Chyi (JC), Committee Member ; Li, MinQiang, Committee Member ; McCarthy, Patrick, Committee Member.
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Visual determination of color differences using Probit analysis : phase II /Reniff, Lisa. January 1989 (has links)
Thesis (M.S.)--Rochester Institute of Technology, 1989. / "References": leaves 61-63.
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Forecasting inflation with probit and regression models /Kang, Sungjun, January 1999 (has links)
Thesis (Ph. D.)--University of Missouri-Columbia, 1999. / Typescript. Vita. Includes bibliographical references (leaves 196-201). Also available on the Internet.
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Forecasting inflation with probit and regression modelsKang, Sungjun, January 1999 (has links)
Thesis (Ph. D.)--University of Missouri-Columbia, 1999. / Typescript. Vita. Includes bibliographical references (leaves 196-201). Also available on the Internet.
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Analysis of multivariate probit model in several populations. / CUHK electronic theses & dissertations collectionJanuary 2007 (has links)
Keywords: MCEM algorithm; Gibbs sampler; Multivariate probit model; Multi-group; BIC. / The main purpose of this paper is to develop maximum likelihood and Bayesian approach for the multivariate probit model in several populations. A Monte Carlo EM algorithm is proposed for obtaining the maximum likelihood estimates and the Gibbs sampler is used to produce the joint Bayesian estimates. To test hypotheses involving constraints among the structural parameters of MP model across groups, we use the method of Bayesian Information Criterion(BIC). The simulation study will be given to certify the accuracy of our algorithm. / Yu, Yin. / "March 2007." / Adviser: Sik Yum Lee. / Source: Dissertation Abstracts International, Volume: 68-09, Section: B, page: 6054. / Thesis (Ph.D.)--Chinese University of Hong Kong, 2007. / Includes bibliographical references (p. 135-137). / Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Electronic reproduction. [Ann Arbor, MI] : ProQuest Information and Learning, [200-] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Abstract in English and Chinese. / School code: 1307.
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Univariate polytomous ordinal regression analysis with application to diabetic retinopathy data /Batten, Dennis William, January 2000 (has links)
Thesis (M.A.S.), Memorial University of Newfoundland, 2000. / Bibliography: leaves 70-71.
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Bayesian hierarchical models for the recognition-memory experimentsLin, Xiaoyan, January 2008 (has links)
Thesis (Ph. D.)--University of Missouri-Columbia, 2008. / The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file (viewed on August 3, 2009) Vita. Includes bibliographical references.
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