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Stochastic optimal estimation and control for discrete linear systems with multiple time delaysEl-Dahash, Abdulrahman Mohammed, 1943- January 1973 (has links)
No description available.
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A new approach to solving a multilocation distribution problemPatel, Niranjani H. 08 1900 (has links)
No description available.
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63 |
Flow control methods in a high-speed virtual channelOsborn, Allan Ray 12 1900 (has links)
No description available.
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A general variational principle for random and fields in elastic solid mechanicsFitzgerald, Anthony P. 12 1900 (has links)
No description available.
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Stochastic models of election timingLesmono, Dharma Unknown Date (has links)
Under the democratic systems of government instilled in many sovereign states, the party in government maintains a constitutional right to call an early election. While the constitution states that there is a maximum period between elections, early elections are frequently called. This right to call an early election gives the government a control to maximize its remaining life in power. The optimal control for the government is found by locating an exercise boundary that indicates whether or not a premature election should be called. This problem draws upon the body of literature on optimal stopping problems and stochastic control. Morgan Polls two-party-preferred data are used to model the behaviour of the poll process and a mean reverting Stochastic Differential Equation (SDE) is fitted to these data. Parameters of this SDE are estimated using the Maximum Likelihood Estimation (MLE) Method. Analytic analysis of the SDE for the poll process is given and it will be proven that there is a unique solution to the SDE subject to some conditions. In the first layer, a discrete time model is developed by considering a binary control for the government, viz. calling an early election or not. A comparison between a three-year and a four-year maximum term is also given. A condition when the early exercise option is removed, which leads to a fixed term government such as in the USA is also considered. In the next layer, the possibility for the government to use some control tools that are termed as boosts to induce shocks to the opinion polls by making timely policy announcements or economic actions is also considered. These actions will improve the governments popularity and will have some impacts upon the early-election exercise boundary. An extension is also given by allowing the government to choose the size of its boosts to maximize its expected remaining life in power. In the next layer, a continuous time model for this election timing is developed by using a martingale approach and Itos Lemma which leads to a problem of solving a partial differential equation (PDE) along with some boundary conditions. Another condition considered is when the government can only call an election and the opposition can apply boosts to raise its popularity or just to pull governments popularity down. The ultimate case analysed is when both the government and the opposition can use boosts and the government still has option to call an early election. In these two cases a game theory approach is employed and results are given in terms of the expected remaining life in power and the probability of calling and using boosts at every time step and at certain level of popularity.
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Stochastic models of election timingLesmono, Dharma Unknown Date (has links)
Under the democratic systems of government instilled in many sovereign states, the party in government maintains a constitutional right to call an early election. While the constitution states that there is a maximum period between elections, early elections are frequently called. This right to call an early election gives the government a control to maximize its remaining life in power. The optimal control for the government is found by locating an exercise boundary that indicates whether or not a premature election should be called. This problem draws upon the body of literature on optimal stopping problems and stochastic control. Morgan Polls two-party-preferred data are used to model the behaviour of the poll process and a mean reverting Stochastic Differential Equation (SDE) is fitted to these data. Parameters of this SDE are estimated using the Maximum Likelihood Estimation (MLE) Method. Analytic analysis of the SDE for the poll process is given and it will be proven that there is a unique solution to the SDE subject to some conditions. In the first layer, a discrete time model is developed by considering a binary control for the government, viz. calling an early election or not. A comparison between a three-year and a four-year maximum term is also given. A condition when the early exercise option is removed, which leads to a fixed term government such as in the USA is also considered. In the next layer, the possibility for the government to use some control tools that are termed as boosts to induce shocks to the opinion polls by making timely policy announcements or economic actions is also considered. These actions will improve the governments popularity and will have some impacts upon the early-election exercise boundary. An extension is also given by allowing the government to choose the size of its boosts to maximize its expected remaining life in power. In the next layer, a continuous time model for this election timing is developed by using a martingale approach and Itos Lemma which leads to a problem of solving a partial differential equation (PDE) along with some boundary conditions. Another condition considered is when the government can only call an election and the opposition can apply boosts to raise its popularity or just to pull governments popularity down. The ultimate case analysed is when both the government and the opposition can use boosts and the government still has option to call an early election. In these two cases a game theory approach is employed and results are given in terms of the expected remaining life in power and the probability of calling and using boosts at every time step and at certain level of popularity.
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Stochastic generation of daily rainfall for catchment water management studies /Harrold, Timothy Ives. January 2002 (has links)
Thesis (Ph. D.)--University of New South Wales, 2002. / Also available online.
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68 |
Stochastic modelling of unsteady open channel flow and reliability analysis /Lu, Zhihua. January 2008 (has links)
Thesis (Ph.D.)--Hong Kong University of Science and Technology, 2008. / Includes bibliographical references (leaves 168-176). Also available in electronic version.
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69 |
Sample path analysis of stochastic processes busy periods of auto-correlated single server queues /Garikiparthi, Chaitanya N. Liefvoort, Appie van de. January 2008 (has links)
Thesis (Ph. D.)--School of Computing and Engineering. University of Missouri--Kansas City, 2008. / "A dissertation in computing networking and telecommunications networking." Advisor: Appie van de Liefvoort. Typescript. Vita. Title from "catalog record" of the print edition Description based on contents viewed Feb. 6, 2009. Includes bibliographical references (leaves 85-89). Online version of the print edition.
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Evaluating stochastic discount factors from term structure models /Farnsworth, Heber K., January 1997 (has links)
Thesis (Ph. D.)--University of Washington, 1997. / Vita. Includes bibliographical references (leaves [55]-58).
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