Area of research
Statistics and Probability · Statistics, Probability and Uncertainty
Research interest
Research interests include Mathematics, Statistics, Statistic, Inference, Reliability (semiconductor), and Computer science.
A New Depth-Based Test for Multivariate Two-Sample Problems
Approximate Inference with Exponential Tilting Densities: Theory and Applications
Bartlett-type correction for testing homogeneity of inverse Gaussian means
Poisson Mean Homogeneity: Single-Observation Framework with Applications
Fuzzy C-Means Clustering: A Review of Applications in Breast Cancer Detection
Comparing Several Gamma Means: An Improved Log-Likelihood Ratio Test
Recent Advances in Statistical Theory and Applications
Explicit Gaussian Variational Approximation for the Poisson Lognormal Mixed Model
Accurate Inference for the Mean of the Poisson-Exponential Distribution
Improved Small Sample Inference on the Ratio of Two Coefficients of Variation of Two Independent Lognormal Distributions
Approximations of the cumulative distribution function for infinite weighted sum of random variables
Accurate tests for the equality of coefficients of variation
Effects of Mean Particle Size and Addition Weight Percentage of CaCO<sub>3</sub> on Selected Rheological Properties of Filled LDPE
A Chi-Square Approximation for the &lt;i&gt;F&lt;/i&gt; Distribution
Adjusted Empirical Likelihood Method in the Presence of Nuisance Parameters with Application to the Sharpe Ratio
Discussion of the “Birnbaum‐Saunders distribution: A review of models, analysis, and applications”
Composite likelihood model comparison test under fixed and local alternatives
Confidence Intervals for the Mean of Non-Normal Distribution: Transform or Not to Transform
Simulated Annealing of Constrained Statistical Functions
Bayes, Reproducibility and the Quest for Truth
A Penalized Likelihood Approach to Parameter Estimation with Integral Reliability Constraints
Evaluation of Third-Order Method for the Tests of Variance Component in Linear Mixed Models
Combining Likelihood Information from Independent Investigations
Higher order inference for stress–strength reliability with independent Burr-type <i>X</i> distributions
Testing homogeneity of inverse Gaussian scale-like parameters: a saddlepoint approach
Interval Estimation for the Stress-Strength Reliability with Bivariate Normal Variables
Comparing the Means of Two Log-Normal Distributions: A Likelihood Approach
Journal of Statistical and Econometric Methods 2014cited by 3position: last
An accurate test for the equality of covariance matrices from decomposable graphical Gaussian models
Interval Estimation for the Stress-Strength Reliability with Bivariate Normal Variables
Interval Estimation of the Stress-Strength Reliability with Independent Normal Random Variables