Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1140233 | Mathematics and Computers in Simulation | 2008 | 14 Pages |
Abstract
One of the traditional models for growth data is the logistic distribution. In this note, a collection of more flexible models referred to as compound growth distributions is derived. The corresponding estimation procedures are established by the method of moments. The superior performance and the sensitivity of these models are illustrated over the traditional logistic model.
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Control and Systems Engineering
Authors
Saralees Nadarajah,