Inference based on popular maximum-likelihood estimators (MLEs) method often provide
bias estimates of order. Such bias may significantly affect the accuracy of estimates. This …

In this paper, we propose and study a new probability mass function by creating a natural
discrete analog to the continuous Lindley distribution as a mixture of geometric and negative …

In this paper, we present a review on the log-logistic distribution and some of its recent
generalizations. We cite more than twenty distributions obtained by different generating …

In this article, maximum likelihood estimator (s)(MLE (s)) of the scale and shape parameters
α α and β β from log-logistic distribution will be respectively considered in cases when one …

This paper focuses on the application of Markov Chain Monte Carlo (MCMC) technique for
estimating the parameters of log-logistic (LL) distribution which is dependent on a complete …

The exponentiated Teissier distribution (ETD) offers an alternative for modeling survival
data, taking into account flexibility in modeling data with increasing and decreasing hazard …

Improving the ability of imperceptibility, watermark capacity, and robustness at the same time
still remains a challenge within the digital image watermarking community. By modeling the …

In this paper a new distribution is proposed. This new model provides more flexibility to
modeling data with upside-down bathtub hazard rate function. A significant account of …

In this study, we will look at estimating the parameters of the Gompertz distribution. We know
that the maximum likelihood technique is the most often used method in the literature for …

As a result of asymmetry in practical problems, the Lognormal distribution is more suitable
for data modeling in biological and economic fields than the normal distribution, while …