PCM Transformation: Properties and Their Estimation

In the present piece of work, we are going to propose a new trigonometry based transformation called PCM transformation. We have been obtained its various statistical properties such as survival function, hazard rate reverse-hazard moment generating median, stochastic ordering etc. Maximum Likelihood Estimator (MLE) method under classical approach and Bayesian approaches tackled obtain estimate unknown parameter. A real dataset has applied check fitness on basis fitting criterions Akaike Information criterion (AIC), (BIC), log-likelihood (-LL) Kolmogrov-Smirnov (KS) test statistic values in sense. simulation study is also being conducted assess estimator’s long-term attitude compared over some chosen distributions.