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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.

 

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