4 papers
Statistical evaluation of measurement precision in linear dose-response relationships via interlaboratory studies
Jun-ichi Takeshita, Yuto Ikeuchi, Tomomichi Suzuki
This paper proposes a framework for evaluating the statistical precision of measurement methods from interlaboratory studies where the outcome is a dose-response relationship summa…
Bootstrap-based estimation and inference for measurement precision under ISO 5725
Jun-ichi Takeshita, Kazuhiro Morita, Tomomichi Suzuki
The ISO 5725 series frames interlaboratory precision through repeatability, between-laboratory, and reproducibility variances, yet practical guidance on deploying bootstrap methods…
A model and method for analyzing the precision of binary measurement methods based on beta-binomial distributions, and related statistical tests
Jun-ichi Takeshita, Tomomichi Suzuki
This study developed a new statistical model and method for analyzing the precision of binary measurement methods from collaborative studies. The model is based on beta-binomial di…
A remark on statistics for detecting laboratory effects in ORDANOVA
Jun-ichi Takeshita, Yuto Arai, Mayu Ogawa +2
The present study defines a new statistic for detecting laboratory effects in the analysis of ordinal variation (ORDANOVA). The ORDANOVA is an analysis method similar to one-way an…