- About
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The Global ETD Search service is a free service for researchers
to find electronic theses and dissertations. This service is
provided by the
Networked Digital Library of Theses and Dissertations.
Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
Search results
Showing 1 to 10 of 236 (0.042 seconds)| 1 |
Stochastic model of extreme coastal water levels, New South Wales, AustraliaBurston, Joanna. January 2008 (has links)
Thesis (Ph. D.)--University of Sydney, 2008. / Title from title screen (viewed February 12, 2009). Includes graphs and tables. Submitted in fulfilment of the requirements for the degree of Doctor of Philosophy to the School of Geosciences, Faculty of Science. Includes bibliographical references. Also available in print form.
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Aspects of modelling stochastic volatility /Tsang, Wai-yin, January 2000 (has links)
Thesis (M. Phil.)--University of Hong Kong, 2000. / Includes bibliographical references (leaves 129-141).
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Stochastic and simulation models of maritime intercept operations capabilitiesSato, Hiroyuki. January 2005 (has links) (PDF)
Thesis (M.S. in Operations Research)--Naval Postgraduate School, December 2005. / Thesis Advisor(s): Patricia A. Jacobs, Donald P. Gaver. Includes bibliographical references (p.117-119). Also available online.
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Aspects of modelling stochastic volatilityTsang, Wai-yin, 曾慧賢 January 2000 (has links)
published_or_final_version / Statistics and Actuarial Science / Master / Master of Philosophy
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POMDP compression and decomposition via belief state analysisLi, Xin 01 January 2009 (has links)
No description available.
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Applications of stochastic analysis to sequential CUSUM procedures23 February 2010 (has links)
Ph.D.
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Bayesian analysis of stochastic constraints in structural equation model with polytomous variables in serveral groups.January 1990 (has links)
by Tung-lok Ng. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1990. / Bibliography: leaves 57-59. / Chapter Chapter 1 --- Introduction --- p.1 / Chapter Chapter 2 --- Full Maximum Likelihood Estimation of the General Model --- p.4 / Chapter 2.1 --- Introduction --- p.4 / Chapter 2.2 --- Model --- p.4 / Chapter 2.3 --- Identification of the model --- p.5 / Chapter 2.4 --- Maximum likelihood estimation --- p.7 / Chapter 2.5 --- Computational Procedure --- p.12 / Chapter 2.6 --- Tests of Hypothesis --- p.13 / Chapter 2.7 --- Example --- p.14 / Chapter Chapter 3 --- Bayesian Analysis of Stochastic Prior Information --- p.17 / Chapter 3.1 --- Introduction --- p.17 / Chapter 3.2 --- Bayesian Analysis of the general model --- p.18 / Chapter 3.3 --- Computational Procedure --- p.22 / Chapter 3.4 --- Test the Compatibility of the Prior Information --- p.24 / Chapter 3.5 --- Example --- p.25 / Chapter Chapter 4 --- Simulation Study --- p.27 / Chapter 4.1 --- Introduction --- p.27 / Chapter 4.2 --- Simulation1 --- p.27 / Chapter 4.3 --- Simulation2 --- p.30 / Chapter 4.4 --- Summary and Discussion --- p.31 / Chapter Chapter 5 --- Concluding Remarks --- p.33 / Tables / References --- p.57
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Taxation and dividend policies with stochastic earnings /McGee, Manley Kevin January 1983 (has links)
No description available.
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Stochastic modeling and financial derivative pricingKerr, Q. Unknown Date (has links)
No description available.
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Fixed point methods for loss networksThompson, M. Unknown Date (has links)
No description available.
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