Abstract
The Garima and Lindley distributions are important and widely used distributions for the distribution of lifespan as well as the distribution of wealth. The Garima distribution is mainly used to express the new life distribution, the Lindley distribution is a way of describing the life of a life or tool. It can be used in a wide variety of fields, ranging from biology, engineering and medicine. In this article, the usual properties of the Garima-Lindley distribution mixture were obtained. Cumulative distribution function, risk rate, shortness rate, inverse risk function, odd function and cumulative risk function, moment r, characteristic function of the generator function of moment, moments, mean and variance, Bonferoni and Lorenz curve, order statistics, MLE, mean time between shortness (MTBF) and stress-resistance reliability were also obtained. Graphics and some results were obtained with the help of MATLAB\\R2018a and Wolfram Mathematica 7 programs.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
