Wai-Yin Poon
Biographic Data
| ID | 4270434 |
|---|---|
| NAME | Wai-Yin Poon |
| GIVEN NAMES | Wai-Yin |
| FAMILY NAME | Poon |
| SIGNATURE | POON W |
| AFFILIATIONS | Chinese University of Hong Kong |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2002 |
| LATEST PUBLICATION YEAR | 2004 |
| H-INDEX | 0 |
Comparison of Approaches in Estimating Interaction and Quadratic Effects of Latent Variables
Various approaches using the maximum likelihood (ML) option of the LISREL program and products of indicators have been proposed to analyze structural equation models with non-linear latent effects on the basis of Kenny and Judd's formulation. Recently, some methods based on the Bayesian approach and the exact ML approaches have been developed. This article reviews, elaborates and compares several approaches for analyzing nonlinear models with int…
Influence Measures in Contingency Tables With Application in Sampling Zeros
Based on the local influence approach with an appropriate perturbation scheme, measures are developed to assess the influence of an individual cell in contingency tables. The authors demonstrate that the developed measures are particularly suitable for sensitivity analysis in tables with sampling zeros. The independence model and the log-linear model, together with numerical examples, are presented for illustration
Multisample Analysis of Multivariate Ordinal Categorical Variables
We study a multiple group model with ordinal categorical observed variables that are manifestations of underlying normal variables. When the objective of an analysis is to compare the locations and dispersions of the underlying continuous variables in different groups, traditional approaches use exact linear constraints on thresholds across groups to identify the model. Though the resultant model facilitates interpretation in multiple group analy…
No prominent works on this page.
Multisample Analysis of Multivariate Ordinal Categorical Variables
We study a multiple group model with ordinal categorical observed variables that are manifestations of underlying normal variables. When the objective of an analysis is to compare the locations and dispersions of the underlying continuous variables in different groups, traditional approaches use exact linear constraints on thresholds across groups to identify the model. Though the resultant model facilitates interpretation in multiple group analy…
Influence Measures in Contingency Tables With Application in Sampling Zeros
Based on the local influence approach with an appropriate perturbation scheme, measures are developed to assess the influence of an individual cell in contingency tables. The authors demonstrate that the developed measures are particularly suitable for sensitivity analysis in tables with sampling zeros. The independence model and the log-linear model, together with numerical examples, are presented for illustration
Comparison of Approaches in Estimating Interaction and Quadratic Effects of Latent Variables
Various approaches using the maximum likelihood (ML) option of the LISREL program and products of indicators have been proposed to analyze structural equation models with non-linear latent effects on the basis of Kenny and Judd's formulation. Recently, some methods based on the Bayesian approach and the exact ML approaches have been developed. This article reviews, elaborates and compares several approaches for analyzing nonlinear models with int…
Computer Science (3 works) · Mathematics (3 works) · Statistical Methods and Bayesian Inference (3 works) · Bayesian probability (2 works) · Econometrics (2 works) · Statistics (2 works) · Advanced Statistical Methods and Models (1 work) · Advanced Statistical Modeling Techniques (1 work) · Applied Mathematics (1 work) · Applied Mathematics (1 work)