14 آذر 1404
مراد عليزاده

مراد علیزاده

مرتبه علمی: دانشیار
نشانی: دانشکده مهندسی سیستم های هوشمند و علوم داده - گروه آمار
تحصیلات: دکترای تخصصی / امار ریاضی
تلفن: 0
دانشکده: دانشکده مهندسی سیستم های هوشمند و علوم داده

مشخصات پژوهش

عنوان A Generalized Mixture of standard Logistic and skew Logistic distributions: Properties and applications
نوع پژوهش مقالات در نشریات
کلیدواژه‌ها
Logistic distribution, Mixture distribution, Skew Logistic distribution, maximum likelihood estimator, Likelihood ratio test
مجله Statistics, Optimization and Information Computing
شناسه DOI https://doi.org/10.19139/soic-2310-5070-2046
پژوهشگران پارتا جویتی هازاریکا (نفر اول) ، جاندیپ داس (نفر دوم) ، مراد علیزاده (نفر سوم) ، جاویر ای کونتراس ریس (نفر چهارم)

چکیده

In this paper, the generalized mixture of standard logistic and skew logistic is introduced as a new class of distribution. Some important mathematical properties of this novel distribution are discussed along with a graphical presentation of the density function. These properties include moment generating function, mth order moment, mean deviation, characteristic function, entropy, among others. Moreover, a location scale type extension of the proposed distribution is considered, and the maximum likelihood estimation method for this model is presented. To examine the performance of the estimated parameters of the proposed distribution, a simulation study is also conducted using the rejection sampling method. Furthermore, an application using two real-life data sets are also illustrated. Finally, the likelihood ratio test is performed to study the discrepancies between proposed model with their counterparts.