Abstract #300521

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JSM 2002 Abstract #300521
Activity Number: 321
Type: Contributed
Date/Time: Wednesday, August 14, 2002 : 12:00 PM to 1:50 PM
Sponsor: Section on Physical & Engineering Sciences*
Abstract - #300521
Title: Beta-Normal Distribution: Bimodality Properties and Application
Author(s): Felix Famoye*+ and Carl Lee and Nicholas Eugene
Affiliation(s): Central Michigan University and Central Michigan University and Coppin State College
Address: , Mt. Pleasant, Michigan, 48859-0001, USA
Keywords: Logit ; parameter space ; percentiles ; curve estimation
Abstract:

The beta-normal distribution is characterized by four parameters that jointly describe the location, the scale, and the shape properties. The beta-normal distribution can be unimodal or bimodal. This paper studies the bimodality properties of the beta-normal distribution. The region of bimodality in the parameter space is obtained. A test for bimodality is proposed for the distribution. The beta-normal distribution is applied to a bimodal numerical data set.

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