This paper deals with the statistical inference of the unknown parameter and some life
parameters of inverse Lindley distribution under the assumption that the data are adaptive …

Every day, new data must be analysed as well as possible in all areas of applied science,
which requires the development of attractive statistical models, that is to say adapted to the …

The Rician distribution, a well-known statistical distribution frequently encountered in fields
like magnetic resonance imaging and wireless communications, is particularly useful for …

Perhaps the most recent controversial topic in network science research is to determine
whether real-world complex networks are scale-free or not. Recently, Broido and Clauset …

The Lomax distribution is an important member in the distribution family. In this paper, we
systematically develop an objective Bayesian analysis of data from a Lomax distribution …

The selection of priors is a critical aspect of Bayesian analysis, although the literature lacks
studies concerning the application of the Gumbel distribution using different objective priors …

The Lomax distribution is arguably one of the most useful lifetime distributions, explaining
the developments of its extensions or generalizations through various schemes. The …

For the point and interval estimation of the scale and shape parameters of the Lomax
distribution, the frequentist method is invalid and the Bayesian method is sometimes …

In this paper, we investigate the performance of a variety of frequentist estimation techniques
for the scale and shape parameters of the Lomax distribution. These methods include …

The Lomax distribution is one of the well-known distributions that is used to fit heavy-tailed
data. In this paper, we investigate the estimation of Shannon entropy of the Lomax …