Asymptotic distributions of statistics and parameter estimates for mixed Poisson processes

DOI10.1016/j.jspi.2007.04.016zbMath1122.62012OpenAlexW1989579095MaRDI QIDQ2455420

Anatoly A. Zhigljavsky, Vippal Savani

Publication date: 24 October 2007

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2007.04.016

zbMATH Keywords

maximum likelihoodmoment estimatorsmixed Poisson distribution

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Asymptotic distribution theory in statistics (62E20) Non-Markovian processes: estimation (62M09)

Cites Work

• Efficient parameter estimation for independent and INAR(1) negative binomial samples
• Asymptotic Statistics
• Efficient Estimation of Parameters of the Negative Binomial Distribution
• Conditional analysis of mixed Poisson processes with baseline counts: implications for trial design and analysis
• SAMPLING THEORY OF THE NEGATIVE BINOMIAL AND LOGARITHMIC SERIES DISTRIBUTIONS
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