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- Title
NEW DISCRETE DISTRIBUTION FOR ZERO-INFLATED COUNT DATA.
- Authors
Ahmad, Peer Bilal; Wani, Mohammad Kafeel
- Abstract
Over-dispersed models are commonly utilized when the variation is more than what the model actually predicts. Since one of the reasons for over-dispersion is the large number of zeros, we employ zero-inflated models instead of more traditional ones to handle this observed occurrence. We present a zero-inflated version of a discrete distribution that was developed in 2021 in our research. Significant statistical characteristics of the suggested model have been identified, such as moments, the over-dispersion feature, generating functions, and related measures, among others. We have carried the parametric estimation using the maximum likelihood estimate. Maximum likelihood estimates are checked for usefulness in a simulation exercise. We evaluated the applicability of our developed model using three real-world data sets.
- Subjects
DISCRETE uniform distribution; MAXIMUM likelihood statistics; GOODNESS-of-fit tests
- Publication
Reliability: Theory & Applications, 2024, Vol 19, Issue 1, p717
- ISSN
1932-2321
- Publication type
Article