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Estimation Of Weibull Parameters Using Simulated Annealing As Applied In Financial Data
Published 2023“…The finding reveals that the Weibull distribution is well-suited to describing the investment behaviour of the MPS based on the estimates via the SA algorithm. …”
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Thesis -
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Bayesian survival and hazard estimates for Weibull regression with censored data using modified Jeffreys prior
Published 2013“…For the Weibull model with right censoring and unknown shape, the full conditional distribution for the scale and shape parameters are obtained via Gibbs sampling and Metropolis-Hastings algorithm from which the survival function and hazard function are estimated. …”
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Statistical modeling of the electromechanical behaviour of BI-2223 composite wires
Published 2024text::Final Year Project -
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Parametric and Semiparametric Competing Risks Models for Statistical Process Control with Reliability Analysis
Published 2004“…From the simulation study for this particular case, we can conclude that Weibull distribution describes well the nature of the model concerned as compared to the exponential distribution in terms of the mean value of parameter estimates, bias, and the root means square error. …”
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Reliability Analysis and Prediction of Time to Failure Distribution of an Automobile Crankshaft
Published 2015“…The developed stochastic algorithm has the capability to measure the parametric distribution function and validate the predict the reliability rate, mean time to failure and hazard rate. …”
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Performance Evaluation of Autonomous Contour Following Algorithms for Industrial Robot
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Assignation of PSM evaluator using genetic algorithm
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Undergraduates Project Papers -
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Evaluation of MLP-ANN Training Algorithms for Modeling Soil Pore-Water Pressure Responses to Rainfall
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Citation Index Journal -
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Performance evaluation of vector evaluated gravitational search algorithm II
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Vector Evaluated Gravitational Search Algorithm (VEGSA) for multi-objective optimization problems
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Neural network ensemble: Evaluation of aggregation algorithms in electricity demand forecasting
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Neural network ensemble: Evaluation of aggregation algorithms in electricity demand forecasting
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Neural network ensemble: Evaluation of aggregation algorithms in electricity demand forecasting
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