A New Sine Family of Generalized Distributions: Statistical Inference with Applications

In this article, we extensively study a family of distributions using the trigonometric function. We add an extra parameter to sine transformation and name it alpha-sine-G distributions. Some important functional forms properties are provided in general form. A specific sub-model alpha-sine Weibull is also introduced distribution as parent studied deeply. The statistical new investigated intended parameters estimated maximum likelihood, product spacings, least square, weighted minimum distance methods. For further justification these estimates, simulation experiment carried out. Two real data sets analyzed show suggested model’s application. model performed well compares some existing models considered study.