1. Logistic Regression for Circular Data.
- Author
-
Al-Daffaie, Kadhem and Khan, Shahjahan
- Subjects
CIRCULAR data ,LOGISTIC regression analysis ,WEATHER records ,PARAMETERS (Statistics) ,LINEAR statistical models - Abstract
This paper considers the relationship between a binary response and a circular predictor. It develops the logistic regression model by employing the linear-circular regression approach. The maximum likelihood method is used to estimate the parameters. The Newton-Raphson numerical method is used to find the estimated values of the parameters. A data set from weather records of Toowoomba city is analysed by the proposed methods. Moreover, a simulation study is considered. The R software is used for all computations and simulations. [ABSTRACT FROM AUTHOR]
- Published
- 2017
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