Continuous distributions can be used to characterize risk exposure successfully. It is
preferable to use a numerical value, or at the very least, a limited selection of numbers, to …

A recent two-parameter distribution that offers additional flexibility in modeling a real lifetime
dataset is the inverse power Cauchy distribution (IPCD). The IPCD is user-friendly and …

This work uses the inverse-power transformation to create the inverse power Ramos–
Louzada distribution (IPRLD), a novel two-parameter version of the Ramos–Louzada …

In this paper, we emphasize a new one-parameter distribution with support as [1,+∞). It is
constructed from the inverse method applied to an understudied one-parameter unit …

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

In this paper, we introduced a new probability distribution named as inverse power Maxwell
distribution. The proposal distribution can be seen as an extension of the Maxwell …

Power unit inverse Lindley distribution with different measures of uncertainty, estimation
and applications Page 1 http://www.aimspress.com/journal/Math AIMS Mathematics, 9(8) …

Effective risk exposure descriptions can be made using continuous distributions. To illustrate
the level of exposure to a certain danger, it is better to use a single number, or at the very …

Use of a priori information is very common at an estimation stage to form an estimator of a
population parameter. Estimation problems can lead to more accurate and efficient …

In this paper, we discuss the problem of classical and Bayesian estimation of the parameter
of the inverse Lindley distribution based on lower records as well as the prediction of its …