Centile estimation for a proportion response variable
This paper introduces two general models for computing centiles when the response variable Y can take values between 0 and 1, inclusive of 0 or 1. The models developed are more flexible alternatives to the beta inflated distribution. The first proposed model employs a flexible four parameter logit s...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
John Wiley & Sons
2016
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Subjects: | |
Online Access: | https://repository.londonmet.ac.uk/4704/1/Rigby1.pdf |