Contingency table analysis

M Kateri - Statistics for Industry and Technology, 2014 - Springer
The focus of this book is on models for contingency table analysis. It deals mainly with log-
linear models and special models for ordinal data (log-linear or nonlinear). Special models …

Collapsibility of regression coefficients and its extensions

P Vellaisamy, V Vijay - Journal of statistical planning and inference, 2008 - Elsevier
Collapsibility with respect to a measure of association implies that the measure of
association can be obtained from the marginal model. We first discuss model collapsibility …

Log-linear modeling using conditional log-linear structures

P Vellaisamy, V Vijay - Annals of the Institute of Statistical Mathematics, 2009 - Springer
Abstract Analysis of large dimensional contingency tables is rather difficult. Fienberg and
Kim (1999, Journal of American Statistical Association, 94, 229–239) studied the problem of …

[PDF][PDF] Analyzing returns and pattern of financial data using log-linear modeling

V Vijay, PK Paul - Computational Research, 2016 - researchgate.net
Technical analysis is useful for forecasting the price movement through the analysis of
historic data. This sort of movement has Turn of the year effect also and useful for short term …

Collapsibility of contingency tables based on conditional models

P Vellaisamy, V Vijay - Journal of statistical planning and inference, 2010 - Elsevier
Strict collapsibility and model collapsibility are two important concepts associated with the
dimension reduction of a multidimensional contingency table, without losing the relevant …

Relationships Between Full and Layer Models with Applications to Level Merging

V Vijay - Communications in Statistics-Theory and Methods, 2011 - Taylor & Francis
Analysis of a large dimensional contingency table is quite involved. Models corresponding
to layers of a contingency table are easier to analyze than the full model. Relationships …

Average collapsibility of distribution dependence and quantile regression coefficients

P Vellaisamy - Scandinavian Journal of Statistics, 2012 - Wiley Online Library
The Yule–Simpson paradox notes that an association between random variables can be
reversed when averaged over a background variable. Cox and Wermuth introduced the …

Marginal log‐linear parameters and their collapsibility for categorical data

S Ghosh, P Vellaisamy - Statistica Neerlandica, 2024 - Wiley Online Library
Collapsibility is a practical and useful technique for dimension reduction in multidimensional
contingency tables. In this paper, we consider marginal log‐linear models for studying …

Collapsibility of some association measures and survival models

P Vellaisamy - Annals of the Institute of Statistical Mathematics, 2017 - Springer
Collapsibility deals with the conditions under which a conditional (on a covariate W)
measure of association between two random variables Y and X equals the marginal …

Log-Linear Models

M Kateri, M Kateri - … Table Analysis: Methods and Implementation Using R, 2014 - Springer
The classical log-linear models are introduced for two-way and multi-way contingency
tables. Estimation theory, goodness-of-fit testing, and model selection procedures are …