Univariate Probability-G Classes for Scattered Samples under Different Forms of Hazard: Continuous and Discrete Version with Their Inferences Tests
نویسندگان
چکیده
In this paper, we define a new generator to propose continuous as well discrete families (or classes) of distributions. This is used for the DAL model (acronym last names authors, Dimitrakopoulou, Adamidis, and Loukas). newly proposed family may be called odd (NODAL) G-class or alternate We developed both version G-class. Some mathematical statistical properties these G-classes are listed. The estimation parameters discussed. structural two special models classes described. introduced generators can effectively applied discuss analyze different forms failure rates including decreasing, increasing, bathtub, J-shaped, among others. Moreover, asymmetric symmetric data under kurtosis. A Monte Carlo simulation study reported assess performance maximum likelihood estimators models. real-life sets (air conditioning, flood discharges, kidney cysts) analyzed show that perform better compared well-established competitive
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ژورنال
عنوان ژورنال: Mathematics
سال: 2023
ISSN: ['2227-7390']
DOI: https://doi.org/10.3390/math11132929