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Environmental hazards pose a considerable and genuine threat to the survival of organizations. However, organizations can increase their likelihood of survival by adopting various hazard adjustments. ...
Severe Ionosphere magnetic storms are feared events for integrity and continuity of navigation systems such as EGNOS, the European SBAS (Satellite-Based Augmentation System) complementing GPS and an a...
Evaluating the overall ability of players in the National Hockey League (NHL) is a dicult task. Existing methods such as the famous \plus/minus" statistic have many shortcomings. Standard linear regr...
We consider a general high-dimensional additive hazard model in a non-asymptotic setting, including regression for censored-data.
In data sets with many more features than observations, independent screening based on all univariate regression models leads to a computationally convenient variable selection method. Recent effort...
We discuss a number of estimates of the hazard under the assumption that the hazard is monotone on an interval [0,a]. The usual isotonic least squares estimators of the hazard are inconsistent at the ...
We discuss a number of estimates of the hazard under the assumption that the hazard is monotone on an interval [0,a]. The usual isotonic least squares estimators of the hazard are inconsistent at the ...
The Ministry of Public Health has implemented increasingly complex payment schemes to cope with the internal brain drain situation among certain categories of health personnel. Non-private-practi...
In this paper, we extend the previously proposed MRH methods(Bouman et al.2005, 2007) into the hierarchical multiresolution hazard setting (HMRH), to accommodate the case of separate hazard rate funct...
In this paper we obtain convergence rates for sieved maximum-likelihood &timators of the log-hazard function in a censoring model. We also establish convergence results for an adaptive version of t...
This paper focuses on the problem of the estimation of the cumulative hazard function of a distribution on d-dimensional Euclidean space when the data points are subject to censoring by an arbitrary a...
This paper aims at balancing between characterization and modeling approaches for bivariate extensions of univariate life distributions using reversed hazard rates. The proposed model, a characterized...
In this paper we discuss various definitions of bivariate reversed hazard rate and their properties. An exponential representation of bivariate distribution using reversed hazard rates is given and we...
Markov Chain Monte Carlo (MCMC) methods are used to perform a Bayesian analysis for interfailure data with constant hazard function in the presence of one or more change-points.We also present some ...

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