5 citations · 12 across the 10 of their papers we have counts for
12 papers
A Stein Characterization-type Omnibus Tests for the Discrete Pareto Distribution
Deepesh Bhati, Bruno Ebner, Sakshi Khandelwal
The discrete Pareto (or Zeta, Zipf) distribution, arises naturally in modeling rank-frequency data across diverse fields such as linguistics, demography, biology, and computer scie…
Laplace Transform driven Stein-type Goodness-of-fit Tests for Pareto Distribution
Deepesh Bhati, Sakshi Khandelwal
The Pareto distribution plays a crucial role in various disciplines, necessitating robust goodness-of-fit tests for its validation. This article introduces a novel tests based on S…
A Copula-Based family of Bivariate Composite Models for Claim Severity Modelling
Girish Aradhye, George Tzougas, Deepesh Bhati
In this paper, we consider bivariate composite models for modeling jointly different types of claims and their associated costs in a flexible manner. For expository purposes, the G…
Composite Lognormal-T regression models with varying threshold and its insurance application
Girish Aradhye, Deepesh Bhati, George Tzougas
Composite probability models have shown very promising results for modeling claim severity data comprised of small, moderate, and large losses. In this paper, we introduce three cl…
A New Count Regression Model including Gauss Hypergeometric Function with an application to model demand of health services
Deepesh Bhati, Ishfaq Shah Ahmad
In this paper, an alternative count distribution suitable for modeling over dispersed, zero vertex unimodality and monotonically decreasing data sets. Though the proposed probabili…
Jackknife empirical likelihood based inference for Probability weighted moments
Deepesh Bhati, Sudheesh K Kattumannil, N Sreelakshmi
In the present article, we discuss jackknife empirical likelihood (JEL) and adjusted jackknife empirical likelihood (AJEL) based inference for finding confidence intervals for prob…