217 citations · 502 across the 43 of their papers we have counts for
4 papers · 1 filter
Evaluation of missing data mechanisms in two and three dimensional incomplete tables
S. Ghosh, P. Vellaisamy
The analysis of incomplete contingency tables is a practical and an interesting problem. In this paper, we provide characterizations for the various missing mechanisms of a variabl…
Closed form estimates for missing counts in multidimensional incomplete tables
S. Ghosh, P. Vellaisamy
A useful technique for analyzing incomplete tables is to model the missing data mechanisms of the variables using log-linear models. In this paper, we use log-linear parametrizatio…
The Unbiasedness Approach to Linear Regression Models
P. Vellaisamy
The linear regression models are widely used statistical techniques in numerous practical applications. The standard regression model requires several assumptions about the regres-…
A-Collapsibility of Distribution Dependence and Quantile Regression Coefficients
P. Vellaisamy
The Yule-Simpson paradox notes that an association between random variables can be reversed when averaged over a background variable. Cox and Wermuth (2003) introduced the concept…