Statistical inference for distributions with one Poisson conditional

DOI10.1080/02664763.2021.1928017OpenAlexW3161685776MaRDI QIDQ5861175

Barry C. Arnold, B. G. Manjunath

Publication date: 4 March 2022

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2009.01296

zbMATH Keywords

likelihood ratio testindex of dispersionmarginal and conditional distributionsmaximum-likelihood estimatorspseudo-Poisson

Mathematics Subject Classification ID

Applications of statistics (62Pxx)

Related Items (2)

Bayesian inference for pseudo-Poisson data ⋮ Editorial to the special issue: Recent statistical methods for data analysis, applied economics, business & finance

Cites Work

• On the asymptotic distribution of likelihood ratio test when parameters lie on the boundary
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• Conditional specification of statistical models.
• A characterization of a bivariate distribution by the marginal and the conditional distributions of the same component
• Analysis of Repeated Measures Data
• Some Bivariate Probability Models Applicable to Traffic Accidents and Fatalities
• Families of Multivariate Distributions Involving “Triangular” Transformations
• Univariate Discrete Distributions
• A new bivariate Poisson distribution via conditional specification: properties and applications

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