1. Applying data envelopment analysis (DEA) and multiple criteria decision making (MCDM) to examine the water quality in Thailand based on the water monitoring station of government.
2. Applying the method of principal component analysis and cluster analysis to resolve the issues of comparing and ranking the stations or sites in regard to overall pollution i.e. air pollution and water pollution/water quality.
3. Forecasting rainfall in Chiangmai province by using Box Jenkins models and Fourier analysis and compare the results.
4. Estimate mean and variance for the raining days in Chiangmai province by using Markov chains /Markov processes and obtain the cycle of raining.
5. Analyzing HIV/AIDS data by using two and three-dimensional log-linear models and estimating parameters of the model which indicate association between HIV/AIDS variables.
6. Using the Kaplan-Meier (KM) method to estimate the cumulative distribution function of each variable, and also compare and plot survivorship within each level of all covariates of HIV/AIDS patients.
7. Examining the relationship between survival time and each covariate by using univariate and multivariate Cox's proportional hazard models of HIV/AIDS patients.
8. Propose new Bayesian methods of estimation and testing hypotheses for a constrained bivariate normal population and compare with non-Bayesian methods such as method of moments and maximum likelihood.
9. Estimating the parameters, , and , of the intraclass models based on the maximum likelihood estimator (MLE) and a new approach of Bayesian estimator from multivariate normal distribution.
10. Computing the variance of estimators and comparing the variance of estimators based on the MLE against the Bayesian estimator.
