Statistical Inference for the Kavya–Manoharan Kumaraswamy Model under Ranked Set Sampling with Applications

In this article, we introduce a new extension of the Kumaraswamy (Ku) model, which is called Kavya Manoharan (KMKu) model. The shape forms pdf for KMKu model various values parameters are similar to Ku It can be asymmetric, such as bathtub, unimodal, increasing and decreasing. addition, hrf U-shaped, J-shaped increasing. Several statistical computational properties were computed. Four different measures entropy studied. maximum likelihood approach was employed estimate under simple ranked set sampling. A simulation experiment conducted in order calculate utilizing sampling show efficiency more than random has flexibility other well-known models, proved using three real-world data sets.