Abstract
Recently, there has been a growing interest in discrete valued wrapped distributions and the trigonometric moments.<br />Characteristic functions of stable processes have been used to study the estimation of the model parameters using<br />estimating function approach (Thavaneswaran et al., 2013). In this paper, we introduce a new discrete circular distribution,<br />the wrapped zero-inflated Poisson distribution and derive its population characteristics.<br /><br />
Highlights
Directional data is a natural occurence in many scientific fields such as earth science, meteorology, biology, medicine and astronomy where data is a set of observations on directions
Characteristic functions of stable processes have been used to study the estimation of the model parameters using estimating function approach (Thavaneswaran et al, 2013)
We introduce a new discrete circular distribution, the wrapped zero-inflated Poisson distribution and derive its population characteristics
Summary
Directional data is a natural occurence in many scientific fields such as earth science, meteorology, biology, medicine and astronomy where data is a set of observations on directions. Two-dimensional directions can be represented with respect to some suitable starting point and a “sense of rotation” Observations from such directions are called circular data (see more details, Jammalamadaka and SenGupta, 2001). Thavaneswaran and Ravishanker (2015) studied estimating functions for circular models with continuous circular distributions, and discussed the related information issues. In this present paper, we introduce a new discrete circular distribution, the wrapped zero-inflated Poisson distribution and derive its population characteristics
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Statistics and Probability
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
