摘要
The posterior corneal curvature and many other medical, environmental, and ecological variables are measured with angles where its range is less than . Such data are so-called axial or half circular data. Half circular data modeling has not received much attention from researchers. This paper proposes a new half circular distribution model based on inverse stereographic projection technique of Burr-XII distribution. The maximum likelihood estimates of parameters are obtained and a simulation study to evaluate the performance of estimates was carried out. The application on the posterior corneal curvature of 23 patients shows that the proposed distribution fits the data well.
- 出版日期2018