Several strategies have been developed recently to ensure valid inference after model selection; some of these are easy compute, while others fare better in terms inferential power. In this article, we consider a selective framework for Gaussian data. We propose new method through approximate maximum likelihood estimation. Our goal is to: (a) achieve power with the aid randomization, (b) bypass...

In this paper, we propose and study exp-kumaraswamy distribution. Some of its properties  are derived, including the density function, hazard rate function, quantile function, moments,  skewness  and kurtosis.   Adata set isused to illustrate an application of the proposed distribution. Also, we obtain a new distribution by transformation onexp-kumaraswamy distribution.   New distribution is an...