Efficient algorithms for heavy-tail analysis under interval uncertainty. - Vladik Kreinovich; Monchaya Chiangpradit; Wararit Panichkitkosolkul (Ann. Oper. Res., 2012)

Prediction intervals for the Gaussian autoregressive processes following the unit root tests. - Wararit Panichkitkosolkul; Sa-aat Niwitpong (Model. Assist. Stat. Appl., 2012)

Dependence and Association Concepts through Copulas. - Zheng Wei 002; Tonghui Wang; Wararit Panichkitkosolkul (TES, 2014)

Approximate Confidence Interval for the Ratio of Normal Means with a Known Coefficient of Variation. - Wararit Panichkitkosolkul (IUKM, 2015)

Methods for Testing the Difference Between Two Signal-to-Noise Ratios of Log-Normal Distributions. - Wararit Panichkitkosolkul; Kamon Budsaba (IUKM, 2020)

Using Ensemble Machine Learning Methods to Forecast Particulate Matter (PM2.5) in Bangkok, Thailand. - Patchanok Srisuradetchai; Wararit Panichkitkosolkul (MIWAI, 2022)

Confidence intervals for the ratio of medians of two independent log-normal distributions. - Lapasrada Singhasomboon; Wararit Panichkitkosolkul; Andrei Volodin (Commun. Stat. Simul. Comput., 2022)

Logarithmic confidence intervals for the cross-product ratio of binomial proportions under different sampling schemes. - Chanakan Sungboonchoo; Su-Fen Yang; Wararit Panichkitkosolkul; Andrei Volodin (Commun. Stat. Simul. Comput., 2023)