On Size Biased Kumaraswamy Distribution

Inference on the Kumaraswamy distribution

Many lifetime distribution models have successfully served as population models for risk analysis and reliability mechanisms. The Kumaraswamy distribution is one of these distributions which is particularly useful to many natural phenomena whose outcomes have lower and upper bounds or bounded outcomes in the biomedical and epidemiological research. This paper studies point estimation and interv...

The Kumaraswamy-geometric distribution

In this paper, the Kumaraswamy-geometric distribution, which is a member of the T -geometric family of discrete distributions is defined and studied. Some properties of the distribution such as moments, probability generating function, hazard and quantile functions are studied. The method of maximum likelihood estimation is proposed for estimating the model parameters. Two real data sets are us...

Inference on the Log-Exponentiated Kumaraswamy Distribution

In this paper, the log-exponentiated Kumaraswamy (LEK) distribution is introduced and studied as a survival model of unemployment, its survived function has the interesting property that it can be decreasing depending on the shape parameters. The method of maximum likelihood is applied for estimating the model parameters, survival and hazard rate functions. Stratification is used to reduce hete...

Characterizations of Kumaraswamy-Geometric Distribution

Size-Biased Poisson-Garima Distribution with Applications

The detailed discussion about its properties, estimation of parameter, and applications has been discussed by Shanker [1] and it has been shown that it is better than Poisson and PoissonLindley distributions for modeling count data in various fields of knowledge. The PGD arises from the Poisson distribution when its parameter λ follows Garima distribution introduced by Shanker [2] having probab...