activity
20192025
most citedEstimation after selection from bivariate normal population using LINEX loss function

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

stat.ME2025

Dependence and Uncertainty: Information Measures using Tsallis Entropy

Swaroop Georgy Zachariah, Mohd. Arshad, Ashok Kumar Pathak

In multivariate analysis, uncertainty arises from two sources: the marginal distributions of the variables and their dependence structure. Quantifying the dependence structure is c…

stat.ME2024

Multivariate Information Measures: A Copula-based Approach

Mohd. Arshad, Swaroop Georgy Zachariah, Ashok Kumar Pathak

Multivariate datasets are common in various real-world applications. Recently, copulas have received significant attention for modeling dependencies among random variables. A copul…

stat.ME2024

On Generalized Transmuted Lifetime Distribution

Alok Kumar Pandey, Alam Ali, Ashok Kumar Pathak

This article presents a new class of generalized transmuted lifetime distributions which includes a large number of lifetime distributions as sub-family. Several important mathemat…

math.ST2024

Record-based transmuted unit omega distribution: different methods of estimation and applications

Ashok Kumar Pathak, Mohd. Arshad, Alok Kumar Pandey +1

Dombi et al. (2019) introduced a three parameter omega distribution and showed that its asymptotic distribution is the Weibull model. We propose a new record-based transmuted gener…

math.ST2019★ 1 cited

Estimation after selection from bivariate normal population using LINEX loss function

Mohd. Arshad, Omer Abdalghani, Kalu Ram Meena

Let and be two independent populations, where the population follows a bivariate normal distribution with unknown mean vector and common know…