A new class of distributions, the generalized log-Moyal, suitable for modelling heavy tailed
data is proposed in this article. This class exhibits desirable properties relevant to actuarial …

Actuaries are often in search of finding an adequate model for actuarial and financial risk
management problems. In the present work, we introduce a class of claim distributions …

This research provides a comprehensive analysis of two-component non-Gaussian
composite models and mixture models for insurance claims data. These models have …

In survival, reliability and medical studies, it is natural to have experience with several
situations pertaining to testing, cost or money constraints where the removal of units prior to …

The distribution of the sum of dependent risks is a crucial aspect in actuarial sciences, risk
management and in many branches of applied probability. In this paper, we obtain analytic …

In manufacturing industries and several other fields, accelerated life testing is used widely to
obtain sufficient failure time data of test units quickly as compared to normal use conditions …

Optimal estimation of reliability parameter for inverse Pareto distribution with application to
insurance data | Emerald Insight Books and journals Case studies Expert Briefings Open …

Based on record statistics from Lindley distribution, we consider here the problem of
estimating the model parameter and predicting the unobserved records. Frequentist and …

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 …

In this paper, we are interested in estimating stress-strength reliability when the distributions
of stress and strength are independent generalized inverse Lindley (GIL) under different …