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 35 for “"hazard function"”.
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A comparison of some methods of modeling baseline hazard function in discrete survival models
… spline methods in smoothing the baseline hazard function. Root mean squared error (RMSE) analysis suggests that generally all the smoothing methods performed better than the model with a discrete baseline hazard function. No single smoothing method outperformed the other smoothing methods. …
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Survival Model and Estimation for Lung Cancer Patients.
… we assume an exponential form for the baseline hazard function and combine Cox proportional hazard regression for the survival study of a group of lung cancer patients. The covariates in the hazard function are estimated by maximum likelihood estimation following the proportional hazards …
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Nonparametric Survival Analysis under Shape Restrictions
… resort to nonparametric methods for estimating a function. Although other nonparametric approaches, such as Kaplan-Meier, kernel-based, and roughness penalty methods, are popular tools for solving function estimation problems, they suffer from some non-trivial issues like the loss of some …
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Statistical Properties of the Mc-Dagum and Related Distributions
… and Dagum distributions as special cases. The hazard function, reverse hazard function, moments and mean residual life function are obtained. Inequality measures, entropy and Fisher information are presented. Maximum likelihood estimates of the model parameters are given.</p>
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Statistical studies of various time-to-fail distributions
… models are considered that have U-shaped hazard functions, and a fourth model is considered that has a linear hazard function. Several methods for estimating the parameters are given for each of these models. Also, various tests of hypotheses are considered in the case of the model with …
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Generalized Modified Weibull Poisson Distribution with Applications to Lifetime Data
… of these classes of distributions, including hazard function, reverse hazard function, moments, quantile function, entropy and distribution of order statistics are derived. Method of maximum likelihood is used to estimate the parameters of the new distribution. Finally, a real data example is …
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Statistical Properties of Weighted Generalized Gamma Distribution
… generalized gamma distribution including the hazard function, reverse hazard function, moments, coefficient of variation, coefficient of skewness, coefficient of kurtosis, Fisher information and entropy measures are derived. Estimation of the parameters of the weighted generalized gamma …
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Generalized Classes of Lindley Distributions With Applications to Lifetime data
… of these classes of distributions, including hazard function, reverse hazard function, monotonicity property, shapes, moments, reliability, quantile function, mean deviations, Bonferroni and Lorenz curves, entropy and Fisher information are derived. Method of maximum likelihood is used to …
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Weighted Inverse Weibull and Beta-Inverse Weibull Distribution
… inverse Weibull distribution including the hazard function, reverse hazard function, moments, moment generating function, coefficient of variation, coefficient of skewness, coefficient of kurtosis, Fisher information and Shanon entropy are studied. The estimation for the parameters of the …
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Thermal fracture service life analysis of a case bonded visco-elastic cylinder
… the critical crack length, is calculated. A hazard function will be defined as the probability of failure during a single cycle after the cylinder has survived N previous cycles. The hazard function will then be integrated to yield the progressively increasing probability of fracture. The …
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Cure Rate Model with Spline Estimated Components
… cure probability of the whole population and the hazard rate of the noncured subpopulation. The existing methods for cure rate models have been limited to parametric and semiparametric models. More specifically, the hazard function part is estimated by parametric or semiparametric model where the …
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Confidence bands for survival curves using model assisted cox regression
… confidence bands (SCBs) for survival functions from right censored data. The approach is based on an extension of semiparametric random censorship models (SRCMs) to Cox regression, which produces reliable and more informative SCBs. SRCMs derive their rationale from their ability to …
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Birth spacing and child mortality in Mozambique : evidence from two demographic and health surveys
… constant rates is applied. The piecewise hazard function assumes a constant hazard rate of child mortality in each 6 month category of the preceding birth interval. The negative binomial regression model is applied to account for the overdispersion present in the Poisson model.
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Cox-type model validation with recurrent event data
… types of data is models for the distribution function of the time between events occurrences, especially in the presence of covariates that play a major role in having a better understanding of time to events.</p> <p>This work pertains to statistical inference of the regression parameter and …
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Properties of Weighted Generalized Beta Distribution of the Second Kind
… distributions including behavior of pdf, cdf, hazard functions, moments, mean, variance, coefficient of variation (CV), coefficient of skewness (CS), coefficient of kurtosis (CK) are obtained. The moments of other weighted distributions that are related toWGB2 are obtained. Other important …
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Optimal Interest Rate for a Borrower with Estimated Default and Prepayment Risk
… with many loans defaulting and prepaying. The hazard function, or instantaneous failure rate, is used as a measure of probability of failure to make a payment. Using a logit model, the default and prepayment risks are estimated as a function of interest rate. The "optimal" interest rate can be …
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The initial unemployment duration of immigrants to Khayelitsha/Mitchell's Plain
… to exhibit positive duration dependence as the hazard function increases over time, albeit over long time periods. Estimators for the parameters of a discrete-time hazard model are obtained via maximum likelihood methods. They suggest that the reality of the post-migration urban experience …
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Generalized Weibull and Inverse Weibull Distributions with Applications
… contains several models such as: length-biased, hazard and reverse hazard proportional inverse Weibull, proportional inverse Weibull, inverse Weibull, inverse exponential, inverse Rayleigh, and Frechet distributions as special cases. Included in the GGIW distribution are the sub-models: …
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Cure Rate Models with Nonparametric Form of Covariate Effects
… thesis focuses on development of spline-based hazard estimation models for cure rate data. Such data can be found in survival studies with long term survivors. Consequently, the population consists of the susceptible and non-susceptible sub-populations with the latter termed as "cured". The …
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Probabilistic service life prediction of composite viscoelastic cylindrical structure under random outdoor environment
… then obtained via the evaluation of cumulative hazard function. Models for the deterministic and random variations of environmental thermal loads- ambient temperature, sky radiation, wind convection, and solar radiation, were developed and were considered in obtaining the structure's surface …
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