Discrimination between Gamma and Rayleigh Models

M. S. Ravikumar, R. R. L. Kantam
2016 International journal of mathematical, engineering and management sciences  
The two popular life testing models are considered to verify whether one can be an alternative to other. The motivation for this study is as follows. It is well known that the cumulative distribution function of Rayleigh distribution can be analytically inverted where as it is not so with Gamma distribution. Generally analytical inversion of cumulative distribution function would be advantageous in the study of problems of inference. "Whether this advantage can be explored in assessing the
more » ... assessing the discrimination or otherwise of the two models" is studied in this paper.
doi:10.33889/ijmems.2016.1.2-010 fatcat:gips3s22rnb7pctl354k4k5cou