One-inflation and unobserved heterogeneity in population size estimation by Ryan T. Godwin

2018-07-01
İnan, Gül
In this study, we would like to show that the one-inflated zero-truncated negative binomial (OIZTNB) regression model can be easily implemented in R via built-in functions when we use mean-parameterization feature of negative binomial distribution to build OIZTNB regression model. From the practitioners' point of view, we believe that this approach presents a computationally convenient way for implementation of the OIZTNB regression model.

Citation Formats
G. İnan, “One-inflation and unobserved heterogeneity in population size estimation by Ryan T. Godwin,” BIOMETRICAL JOURNAL, vol. 60, no. 4, pp. 859–864, 2018, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/57273.