Area of research
Statistics and Probability · Artificial Intelligence
Research interest
Research interests include Advanced Statistical Methods and Models, Statistical Methods and Bayesian Inference, Statistical Distribution Estimation and Applications, and Bayesian Methods and Mixture Models.
Rank tests for the Latin square design
Nonparametric Analysis of Balanced Incomplete Block Rank Data
Relating the Friedman test adjusted for ties, the Cochran–Mantel–Haenszel mean score test and the ANOVA F test
Tests for aggregated dispersion: Van Valen’s test and a new competitor
Sequence count data are poorly fit by the negative binomial distribution
The Kruskal–Wallis tests are Cochran–Mantel–Haenszel mean score tests
Recent Extensions to the Cochran–Mantel–Haenszel Tests
Extensions to the Cochran–Mantel–Haenszel Mean Scores and Correlation Tests
Smooth Tests of Fit for the Lindley Distribution
Unconditional analogues of Cochran–Mantel–Haenszel tests
Assessing the fit of finite mixture distributions
Analysis of ranked data in randomized blocks when there are missing values
A note on additional statistical analysis for JAR data
An Alternative to Page’s Test Permitting Both Tied and Missing Data
Extended ANOVA and Rank Transform Procedures
A note on formulae for CMH statistics for JAR data
Calculating Bivariate Orthonormal Polynomials By Recurrence
Using orthogonal trend contrasts for testing ranked data with ordered alternatives
Comparison of Some Tests of Fit for the Inverse Gaussian Distribution
An Omnibus Consistent Adaptive Percentile Modified Wilcoxon Rank Sum Test with Applications in Gene Expression Studies