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    Bivariate Pseudo-Gompertz distribution and concomitants of its order statistics
    (Elsevier Science Bv, 2013) Yorubulut, Serap; Gebizlioglu, Omer L.
    This paper presents a new bivariate Pseudo-Gompertz distribution that sprouts from the classical Gompertz distribution and possesses the features of pseudo-distribution functions. In addition to some standard properties of the proposed distribution, distributions of order statistics and their concomitants for samples drawn from the new distribution are obtained. The survival and hazard functions of the concomitants are shown and their values are tabled. Interpretations of the results are given in connection with risk events and risk management. (C) 2013 Elsevier B.V. All rights reserved.
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    Fagerstrom Test for Nicotine Dependence (FTND) and smoking behavior among Turkish college students
    (Springer, 2009) Oncel, Sevgi Yurt; Aliev, Fazil; Dick, Danielle; Gebizlioglu, Omer L.
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    On concomitants of upper record statistics and survival analysis for a pseudo-Gompertz distribution
    (Elsevier, 2014) Yorubulut, Serap; Gebizlioglu, Omer L.
    This paper presents upper record statistics and their concomitants for a bivariate pseudo-Gompertz distribution about paired lifetime variables. Survival and hazard functions are derived for the distribution. The survival and hazard functions are displayed for some selected values of the parameters of concern. Interpretations are given for the potential reliability and actuarial applications of the obtained results. (C) 2013 Elsevier B.V. All rights reserved.
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    A Pseudo-Pareto Distribution and Concomitants of Its Order Statistics
    (Springer, 2016) Gebizlioglu, Omer L.; Yorubulut, Serap
    Pareto distributions are very flexible probability models with various forms and kinds. In this paper, a new bivariate Pseudo-Pareto distribution and its properties are presented and discussed. Main variables, order statistics and concomitants of this distribution are studied and their importance for risk and reliability analysis is explained. Joint and marginal distributions, complementing cumulative distributions and hazard functions of the variables are derived. Numerical illustrations, graphical displays and interpretations for the obtained distributions and derived functions are provided. An implementation example on defaultable bonds is performed.