On using percentiles to fit data by a johnson distribution
作者:
Youn-Min Chou,
S Turner,
S Henson,
D Meyer,
K. S Chen,
期刊:
Communications in Statistics - Simulation and Computation
(Taylor Available online 1994)
卷期:
Volume 23,
issue 2
页码: 341-354
ISSN:0361-0918
年代: 1994
DOI:10.1080/03610919408813174
出版商: Marcel Dekker, Inc.
关键词: percentile points;SBdistribution;Svdistribution;SLdistribution
数据来源: Taylor
摘要:
The well-known Johnson system of distributions was developed by N. L. Johnson (1949). Slifker and Shapiro (1980) presented a criterion for choosing a member from the three distributional classes (SB,SL, and Sv) in the Johnson system to fit a set of data. The criterion is based on the value of a quantile ratio which depends on a specified positive z value and the parameters of the distribution. In this paper, we present some properties of the quantile ratio for various distributions and for some selected z values. Some comments are made on using the criterion for selecting a Johnson distribution to fit empirical data.
点击下载:
PDF (484KB)
返 回