We present an approximate conditional and joint association analysis that can use summary-
level statistics from a meta-analysis of genome-wide association studies (GWAS) and …

This useful reference/text provides a comprehensive study of the various bivariate
discretedistributions that have appeared in the literature-written in an accessible manner …

Mixed Poisson distributions are a class of distributions arising from the Poisson mean
fluctuating as a random variable. Mixed Poisson distributions have been applied in diverse …

To bring correlation between binomial random variables is an important statistical problem
with a lot of theoretical and practical applications. In this paper we provide a new formulation …

Abstract The Conway–Maxwell Poisson (CMP) distribution is a popular model for analyzing
data that exhibit under or over dispersion. In this article, we construct bivariate CMP …

Both manufacturing and service industries deal with quality characteristics, which include
not only variables but attributes as well. In the area of Quality Control there has been …

Maximum likelihood (ML) estimation is a popular method for parameter estimation when
modeling discrete or count observations but unfortunately it may be sensitive to outliers …

In this paper, we are interested in the weighted distributions of a bivariate three parameter
logarithmic series distribution studied by Kocherlakota and Kocherlakota (1990). The …

Supplement to “Assessing nonresponse bias in a business survey: Proxy pattern-mixture
analysis for skewed data”. The supplementary material contains the results of applying …

This paper considers the construction of a family of discrete distributions with the flexibility to
cater for under-, equi-and over-dispersion in count data using a finite mixture model based …