Testing equality of two negative binomial means in presence of unequal over-dispersion parameters: a Behrens–Fisher problem analog

DOI10.1080/00949655.2014.955025zbMath1457.62076OpenAlexW1994552498MaRDI QIDQ5222270

Khurshid Alam, Sudhir R. Paul

Publication date: 1 April 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2014.955025

zbMATH Keywords

dispersion parameterbias-corrected maximum likelihood estimatornegative binomial model

Mathematics Subject Classification ID

Parametric hypothesis testing (62F03)

Uses Software

• SIP

Cites Work

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• Bias correction in ARMA models
• Estimation of the Negative Binomial Parameter κ by Maximum Quasi -Likelihood
• NEGATIVE BINOMIAL DISTRIBUTIONS WITH A COMMON K
• Analysis of one-way layout of count data with negative binomial variation
• Welch's Approximate Solution for the Behrens-Fisher Problem
• Regression Methods for Poisson Process Data
• An Analysis of Comparative Carcinogenesis Experiments Based on Multiple Times to Tumor
• Inference sensitivity for Poisson mixtures
• Analysis of Two-Way Layout of Count Data Involving Multiple Counts in Each Cell
• Bias‐Corrected Maximum Likelihood Estimator of the Negative Binomial Dispersion Parameter
• THE SIGNIFICANCE OF THE DIFFERENCE BETWEEN TWO MEANS WHEN THE POPULATION VARIANCES ARE UNEQUAL

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