5 papers
Robust M-Estimation for Spliced Power-Law Models Under Cusp-Type Non-Regularity
N Balakrishna
Statistical modeling of heavy-tailed data with bounded or finite body behaviour often relies on composite or spliced distributions characterized by structural thresholds. Because t…
Goodness-of-fit testing for the Pareto type-I distribution based on a mean residual life characterization
Shivshankar Nila, Ishapathik Das, N. Balakrishna
The statistical analysis of heavy-tailed data has received considerable attention because extreme observations frequently arise in many practical applications. The Pareto type-I di…
Robust Modeling of Extremes in the Presence of Inliers with Enhanced Tail Estimation
Shivshankar Nila, Ishapathik Das, N. Balakrishna
Extreme value theory provides a fundamental framework for modeling rare and extreme events; however, threshold selection remains a persistent challenge, particularly in the presenc…
A Flexible Modeling of Extremes in the Presence of Inliers
Shivshankar Nila, Ishapathik Das, N. Balakrishna
Many random phenomena, including life-testing and environmental data, show positive values and excess zeros, which pose modeling challenges. In life testing, immediate failures res…
Modeling Extreme Events in the Presence of Inlier: A Mixture Approach
Shivshankar Nila, Ishapathik Das, N. Balakrishna
In many random phenomena, such as life-testing experiments and environmental data (like rainfall data), there are often positive values and an excess of zeros, which create modelin…