عنوان	The Lomax-exponential distribution, some properties and applications
نوع پژوهش	مقاله چاپ‌شده در مجلات علمی
کلیدواژه‌ها	T-X family, Lomax distribution, Shannon entropy, simulation study.
چکیده	The exponential distribution is a popular model in applications to real data. We propose a new extension of this distribution, called the Lomax-exponential distribution, which presents greater flexibility to the model. Also there is a simple relation between the Lomax-exponential distribution and the Lomax distribution. Results for moment, limit behavior, hazard function, Shannon entropy and order statistic are provided. To estimate the model parameters, the method of maximum likelihood and Bayse estimations are proposed. Two data sets are used to illustrate the applicability of the Lomax-exponential distribution.
پژوهشگران	نسرین حامی گلزار (نفر اول)، مسعود گنجی (نفر دوم)، حسین بیورانی (Hossein Bevrani) (نفر سوم)