A novel extended model with versatile shaped failure rate: Statistical inference with Covid -19 applications

Results in Physics

Tabassum Naz Sindhu¹  Naif Alotaibi²  Anum Shafiq³ 

[1] Corresponding authors.;Department of Statistics, Quaid-i-Azam University, 45320, Islamabad 44000, Pakistan;School of Mathematics and Statistics, Nanjing University of Information Science and Technology, Nanjing 210044, China;

关键词: MKNPF model;    Least Square Estimates;    Lehmann Type I;    Mean square error;    Weighted Least Square Estimates;    Estimation techniques;   

DOI  :  

来源: DOAJ

【 摘 要 】

Statistical models perform an essential role in data analysis, and statisticians are constantly looking for novel or pretty recent statistical models to fit data sets across a broad variety of fields. In this study, we used modified Kies generalized transformation and the new power function to suggest an unique statistical model. We present and discuss a linear illustration of the density function. Theoretically, quantile function, characteristic function, stochastic ordering, mean, and moments are just a few of the structure properties we discuss. By defining an ideal statistical distribution for assessing the COVID-19 mortality rate, an attempt is performed to determine the model of COVID-19 spread in different nations like the United Kingdom and Italy. In some countries, the novel distribution have been shown to be more appropriate than existing competing models when fitted to COVID-19.

【 授权许可】

Unknown