A remark on statistics for detecting laboratory effects in ORDANOVA

12 Apr 2019 · Jun-ichi Takeshita, Yuto Arai, Mayu Ogawa, Xiao-Nan Lu, Tomomichi Suzuki ·

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 analysis of variance for analysing ordinal data obtained from interlaboratory comparison studies. In this paper, we present an approximate continuous distribution for the new statistic for the case of an arbitrary number of ordinal levels, and we demonstrate that $alpha$-percentiles of the distribution are suitable criteria for conducting statistical tests. In addition, a real example involving data from an interlaboratory comparison study is analysed using the proposed statistic.

PDF Abstract

Code

Add Remove Mark official

No code implementations yet. Submit your code now

Datasets

Add Datasets introduced or used in this paper

Edit Social Preview

A remark on statistics for detecting laboratory effects in ORDANOVA

Code Edit Add Remove Mark official

Categories

Datasets Edit

Code

Add Remove Mark official

Datasets