标题：Measuring the Cost of Noise Pollution and Its Impact in Reducing Corporate Profits, Income Tax Collections, the Treasury, the National Economy and the Welfare of Society
期刊名称：International Journal of Economics and Finance
印刷版ISSN：1916-971X
电子版ISSN：1916-9728
出版年度：2019
卷号：11
期号：5
页码：59-67
DOI：10.5539/ijef.v11n5p59
出版社：Canadian Center of Science and Education
摘要：In this paper, a Nonhomogeneous Poisson Process (NHPP) reliability model based on the two-parameter Log-Logistic (LL) distribution is considered. The essential model’s characteristics are derived and represented graphically. The parameters of the model are estimated by the Maximum Likelihood (ML) and Non-linear Least Square (NLS) estimation methods for the case of time domain data. An application to show the flexibility of the considered model are conducted based on five real data sets and using three evaluation criteria. We hope this model will help as an alternative model to other useful reliability models for describing real data in reliability engineering area.
关键词：noise pollution; reducing profit; income tax; treasury; national economy; welfare; society
