Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 224 for “"Stochastic Model"”.
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On a Stochastic Model of Epidemics
<p>This thesis examines a stochastic model of epidemics initially proposed and studied by Norman T.J. Bailey [1]. We discuss some issues with Bailey's stochastic model and argue that it may not be a viable theoretical platform for a more general epidemic model. A possible alternative approach to …
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A stochastic model for daily climate
… whether climate variables could be usefully modelled on a daily basis. Three stochastic models are considered for the description of daily climate sequences, which can then be used to generate artificial sequences. The climate variables under consideration are rainfall, maximum and minimum …
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A stochastic model of component failure mechanisms
… The process of accumulating reaction product is modelled as a Markov pure birth process which, in turn, is used in developing the failure time distribution. The model is analyzed under the assumption that the reaction rate is constant. Also, the initial state and the final state of the …
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Stochastic Model Predictive Control via Fixed Structure Policies
<p>In this work, the model predictive control problem is extended to include not only open-loop control sequences but also state-feedback control laws by directly optimizing parameters of a control policy. Additionally, continuous cost functions are developed to allow training of the control policy …
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A Stochastic Model for an Intermittent Hydrologic Process
Made available in DSpace on 2014-12-13T19:31:47Z (GMT). No. of bitstreams: 1 7913553.pdf: 4067934 bytes, checksum: 88a96ef66fb00de71c5c9c28333e38c9 (MD5) Previous issue date: 1978
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A Nonstationary Stochastic Model for Strong-Motion Earthquakes
Made available in DSpace on 2014-12-08T23:56:37Z (GMT). No. of bitstreams: 1 6612284.pdf: 3704019 bytes, checksum: b3064ffecf83cb860c4ffbe679263987 (MD5) Previous issue date: 1966
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Fast stochastic model predictive control under parametric uncertainties
Model predictive control (MPC) is widely applied in industry due to its ability to handle constraints explicitly Many processes in chemical engineering have a high number of states, but a relatively low number of inputs and outputs Input-output formulations of MPC employ process models, predicting …
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Optimal reservoir operation using stochastic model predictive control
… control from the current state of the system. Model Predictive Control(MPC) is one such feedback-based technique. This thesis explores the application of a stochastic version of MPC to a reservoir system. The reservoir system is designed to maximize the revenue generated from the …
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Modification on the Schofield stochastic model for estuaries
… more detailed and complex mathematical models are being developed for the use of modeling estuaries. Schofield and Krutchkoff developed a one dimensional stochastic model to predict the concentration of twelve components, five biological and seven chemical. It was criticized because all …
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Stochastic -Model -Driven Adaptation and Recovery in Distributed Systems
We are unaware of any other framework for recovery in distributed systems that integrates monitoring and recovery in an iterative manner, is able to deal with imprecise system states and selectively choose actions that either gather information or make progress towards recovery, and generates …
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A stochastic model of the South African gold mines
A stochastic model of the South African Gold mines was constructed using Contingent Claims Analysis. This method allows the modelling of the major sources of uncertainty that the gold mines face, namely, uncertainty surrounding the future gold price, the exchange rate, the inflation rate, and the …
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A dynamic and stochastic model for distribution of empty containers
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Ocean Engineering, 1994.
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A Stochastic Model for The Transmission Dynamics of Toxoplasma Gondii
… well understood, although a lot of mathematical models have been built. In this thesis, we adopt a complex life cycle model developed by Turner et al. and extend their work to include diffusion of hosts. Most of researches focus on the deterministic models. However, some scientists have reported …
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The development of a stochastic model for predicting championship squash performance
… through the development and application of a stochastic Markov model for predicting future competition squash match play from past performance. The results, using two way chi-square analysis, revealed consistency in individual athletic behavior between games (and also between matches) against …
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A Stochastic Model for Power Prices in the Alberta Electricity Market
… that are crucial to be considered in modelling power prices. In Alberta, periodicity, mean-reversion, and sudden power price spikes are the most common characteristics of power prices that can be explained by changes in supply and demand for electricity. The other significant feature …
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A Gillespie-Type Algorithm for Particle Based Stochastic Model on Lattice
In this thesis, I propose a general stochastic simulation algorithm for particle based lattice model using the concepts of Gillespie's stochastic simulation algorithm, which was originally designed for well-stirred systems. I describe the details about this method and analyze its complexity …
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A Stochastic Model for Predicting Maximum Seismic Response of Light Secondary Systems
Made available in DSpace on 2014-12-10T22:21:57Z (GMT). No. of bitstreams: 1 7317417.pdf: 4600683 bytes, checksum: 4f145921816fa8d334a308fe056afbe7 (MD5) Previous issue date: 1972
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Stochastic model for the simulation of synthetic main shock-aftershock ground motion sequences
… studies on seismic hazard mainly focus on the modeling and simulation of main shocks. This paper proposes a stochastic model to generate main shock-aftershock sequences. The model takes into consideration the statistical properties of the aftershocks’ occurrence times, locations and magnitudes …
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