activity
20122021
most citedDetermination of the Joint Confidence Region of Optimal Operating Conditions in Robust Design by Bootstrap Technique

28 citations · 69 across the 9 of their papers we have counts for

collaborators

9 papers

stat.AP2021

A note on the g and h control charts

Chanseok Park, Min Wang

In this note, we revisit the and control charts that are commonly used for monitoring the number of conforming cases between the two consecutive appearances of nonconformit…

stat.ME2019★ 24 cited

Investigation of finite-sample properties of robust location and scale estimators

Chanseok Park, Haewon Kim, Min Wang

When the experimental data set is contaminated, we usually employ robust alternatives to common location and scale estimators such as the sample median and Hodges-Lehmann estimator…

stat.AP2018★ 1 cited

Empirical distributions of the robustified -test statistics

Chanseok Park, Min Wang

Based on the median and the median absolute deviation estimators, and the Hodges-Lehmann and Shamos estimators, robustified analogues of the conventional -test statistic are pro…

stat.ME2018★ 4 cited

Note on the robustification of the Student -test statistic using the median and the median absolute deviation

Chanseok Park

In this note, we propose a robustified analogue of the conventional Student -test statistic. The proposed statistic is easy to implement and thus practically useful. We also sho…

stat.ME2012★ 28 cited

Determination of the Joint Confidence Region of Optimal Operating Conditions in Robust Design by Bootstrap Technique

Chanseok Park

Robust design has been widely recognized as a leading method in reducing variability and improving quality. Most of the engineering statistics literature mainly focuses on finding…

stat.AP2012

A Note On the Use of Fiducial Limits for Control Charts

Mokin Lee, Chanseok Park

Many of the early works in the quality control literature construct control limits through the use of graphs and tables as described in Wortham and Ringer (1972). However, the meth…

stat.CO2012★ 3 cited

Parameter Estimation from Censored Samples using the Expectation-Maximization Algorithm

Chanseok Park, Seong Beom Lee

This paper deals with parameter estimation when the data are randomly right censored. The maximum likelihood estimates from censored samples are obtained by using the expectation-m…

stat.OT2012

Note on the closed-form MLEs of k-component load-sharing systems

Chanseok Park

Recently Kim and Kvam (2004) and Singh, Sharma, Kumar (2008) proposed different load-sharing models and developed parametric inference for the these models. However, their parametr…

stat.CO2012★ 9 cited

A Quantile Variant of the EM Algorithm and Its Applications to Parameter Estimation with Interval Data

Chanseok Park

The expectation-maximization (EM) algorithm is a powerful computational technique for finding the maximum likelihood estimates for parametric models when the data are not fully obs…