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1	Bayesian nonparametric survival analysis via Markov processes Nieto-Barajas, Luis E. January 2001 (has links) No description available. 510 Hazard function; Failure time data
2	Modeling of Transient Thrust of a Two Phase Propellant Tank Mellechervu, Karthik January 2008 (has links) No description available. Mechanical Engineering Transient thrust two-phase system function of time
3	Robustní odhady autokorelační funkce / Robust estimation of autocorrelation function Lain, Michal January 2020 (has links) The autocorrelation function is a basic tool for time series analysis. The clas- sical estimation is very sensitive to outliers and can lead to misleading results. This thesis deals with robust estimations of the autocorrelation function, which is more resistant to the outliers than the classical estimation. There are presen- ted following approaches: leaving out the outliers from the data, replacement the average with the median, data transformation, the estimation of another coeffici- ent, robust estimation of the partial autocorrelation function or linear regression. The thesis describes the applicability of the presented methods, their advantages and disadvantages and necessary assumptions. All the approaches are compared in simulation study and applied to real financial data. 1
4	Modeling The Temperature of a Calorimeter at Clab : Considering a Thermodynamic Model of The Temperature Evolution of The Calorimeter System 251 Ekman, Johannes January 2021 (has links) It is important to know the heat generated due to nuclear decay in the final repository for spent nuclear fuel. In Sweden, the heating powers generated in spent nuclear fuels are currently measured in the calorimeter System 251 at the Clab facility, Oskarshamn. In order to better measure, and increase understanding, of the temperature measurements in the calorimeter, a simple thermodynamic model of its temperature evolution was developed. The model was described as a system of ordinary differential equations, which were solved, and the solution was applied to calibration measurements of the calorimeter. How precise the model is, how its parameters affect the model, et cetera, are addressed. How the temperature evolution of the system changes as the values of parameters in the model are changed is addressed. The mass correction of the calorimeter could be estimated from this model, which validated the established mass correction of the calorimeter. How the measurement results from the calorimeter would be affected if the volume of the calorimeter was changed was also considered. Additionally, gamma radiation escape from the calorimeter without being detected as heat in the calorimeter. The gamma escape energy fraction was estimated by SERPENT simulations of the calorimeter, as a function of the initial photon energy. The gamma escape was also estimated for different values of the radius of System 251. calorimetry calorimeter System 251 temperature evolution spent nuclear fuel SNF MATLAB SERPENT2 Clab nuclear decay heat calibration measurements thermodynamic model gamma escape fraction mass correction calibration measurements electric heater three component system eigenvalues eigenvalue estimation temperature increase method sensitivity of mass correction calorimeter heat capacity mass correction uncertainty calorimeter calibration curve monoenergetic gamma spectrum Subatomic Physics Subatomär fysik Other Physics Topics Annan fysik

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