Some statistical aspects of assessing agreement based on a bivariate exponential distribution

Article type: Research Article

Authors: Srisodaphol, Wuttichai^a | Tiensuwan, Montip^{b; *}

Affiliations: [a] Department of Statistics, Faculty of Science, Khon Kaen University, Khon Kaen, Thailand | [b] Department of Mathematics, Faculty of Science, Mahidol University, Bangkok, Thailand

Correspondence: [*] Corresponding author: Montip Tiensuwan, Department of Mathematics, Faculty of Science, Mahidol University, Bangkok, Thailand. E-mail: montip.tie@mahidol.ac.th.

Abstract: In this paper we discuss methods of testing agreement when two observers or raters employ measurements on a continuous scale under a bivariate exponential distribution. The Downton's [4] bivariate exponential distribution model is used to derive the test procedures of intra-rater agreement. The operating characteristics of the proposed testing methods are evaluated using a simulation study. Some results of the simulation study based on a large sample size are presented.

Keywords: Bivariate exponential, concordance correlation coefficient, continuous scale, likelihood ratio test, mean squared difference

DOI: 10.3233/MAS-130288

Journal: Model Assisted Statistics and Applications, vol. 9, no. 2, pp. 167-175, 2014