Improved confidence intervals for a coefficient of variation of a normal distribution W Panichkitkosolkul Thailand statistician 7 (2), 193-199, 2009 | 44 | 2009 |
Confidence intervals for the coefficient of variation in a normal distribution with a known population mean W Panichkitkosolkul Journal of Probability and Statistics 2013, 2013 | 25 | 2013 |
Asymptotic confidence interval for the coefficient of variation of Poisson distribution: a simulation study W Panichkitkosolkul | 15 | 2010 |
Forecasting COVID-19 cases using time series modeling and association rule mining R Somyanonthanakul, K Warin, W Amasiri, K Mairiang, C Mingmalairak, ... BMC medical research methodology 22 (1), 281, 2022 | 14 | 2022 |
Confidence intervals for the process capability index Cp based on confidence intervals for variance under non-normality W Panichkitkosolkul Malaysian Journal of Mathematical Sciences 10 (1), 101-115, 2016 | 12 | 2016 |
Dependence and association concepts through copulas Z Wei, T Wang, W Panichkitkosolkul Modeling Dependence in Econometrics: Selected Papers of the Seventh …, 2014 | 11 | 2014 |
New estimator for an unknown mean Gaussian AR (1) process with additive outliers W Panichkitkosolkul Chiang Mai J. Sci 37, 14-20, 2010 | 9 | 2010 |
Bootstrap confidence intervals for the process capability index under half-logistic distribution W Panichkitkosolkul, L Saothayanun Maejo International Journal of Science and Technology 6 (2), 272, 2012 | 8 | 2012 |
Using Ensemble Machine Learning Methods to Forecast Particulate Matter (PM2.5) in Bangkok, Thailand P Srisuradetchai, W Panichkitkosolkul International Conference on Multi-disciplinary Trends in Artificial …, 2022 | 7 | 2022 |
Prediction intervals for the Gaussian autoregressive processes following the unit root tests W Panichkitkosolkul, S Niwitpong Model Assisted Statistics and Applications 7 (1), 1-15, 2012 | 7 | 2012 |
Statistical tests for the reciprocal of a normal mean with a known coefficient of variation W Panichkitkosolkul Journal of Probability and Statistics 2015, 2015 | 6 | 2015 |
Confidence interval for the process capability index based on the bootstrap-t confidence interval for the standard deviation W Panichkitkosolkul Advances in Methodology and Statistics 11 (2), 79–92-79–92, 2014 | 6 | 2014 |
On multistep-ahead prediction intervals following unit root tests for a Gaussian AR (1) process with additive outliers W Panichkitkosolkul, S Niwitpong Applied Mathematical Sciences 5 (47), 2297-2316, 2011 | 6 | 2011 |
Confidence intervals for the ratio of medians of two independent log-normal distributions L Singhasomboon, W Panichkitkosolkul, A Volodin Communications in Statistics-Simulation and Computation 51 (11), 6729-6738, 2022 | 5 | 2022 |
Confidence estimation of the cross-product ratio of binomial proportions under different sampling schemes C Sungboonchoo, T Ngamkham, W Panichkitkosolkul, A Volodin Lobachevskii Journal of Mathematics 42, 435-450, 2021 | 5 | 2021 |
Performance of statistical methods for testing the signal-to-noise ratio of a log-normal distribution W Panichkitkosolkul, B Tulyanitikul 2020 IEEE 7th International Conference on Industrial Engineering and …, 2020 | 5 | 2020 |
Approximate confidence interval for the ratio of normal means with a known coefficient of variation W Panichkitkosolkul Integrated Uncertainty in Knowledge Modelling and Decision Making: 4th …, 2015 | 5 | 2015 |
Bootstrap confidence intervals of the difference between two process capability indices for half logistic distribution W Panichkitkosolkul Pakistan Journal of Statistics and Operation Research, 878-894, 2012 | 5 | 2012 |
Bootstrap Confidence Intervals for the Parameter of Zero-truncated Poisson-Ishita Distribution W Panichkitkosolkul, P Srisuradetchai Thailand Statistician 20 (4), 918-927, 2022 | 4 | 2022 |
Confidence interval for the coefficient of variation in a normal distribution with a known population mean after a preliminary t test W Panichkitkosolkul CURRENT APPLIED SCIENCE AND TECHNOLOGY 15 (1), 34-46, 2015 | 4 | 2015 |