Improving the accuracy of identifying the lognormal curve in the Johnson system
Multiple estimation methods provide discriminants to determine curves in the Johnson (1949) system, but few studies have been conducted to explore their accuracy. In this study, a simulation study was implemented to determine whether three discriminants can discriminate the types of Johnson curves c...
Saved in:
Published in | Communications in statistics. Simulation and computation Vol. 49; no. 5; pp. 1321 - 1332 |
---|---|
Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Philadelphia
Taylor & Francis
03.05.2020
Taylor & Francis Ltd |
Subjects | |
Online Access | Get full text |
Cover
Loading…
Summary: | Multiple estimation methods provide discriminants to determine curves in the Johnson (1949) system, but few studies have been conducted to explore their accuracy. In this study, a simulation study was implemented to determine whether three discriminants can discriminate the types of Johnson curves correctly. The results show these discriminants failed to identify the lognormal curve in the system. The receiver operating characteristic curves and the Youden index (Youden 1950) were used to find the optimal cutoff points for these discriminants to identify the lognormal curve more precisely. A new discriminant was also proposed for the moment method (Johnson 1949) in this study. |
---|---|
ISSN: | 0361-0918 1532-4141 |
DOI: | 10.1080/03610918.2018.1494834 |