估计员
数学
二元分析
极值估计
M-估计量
统计
广义伽马分布
多元统计
分布(数学)
渐近分布
应用数学
伽马分布
计量经济学
数学分析
作者
Victor Mooto Nawa,Saralees Nadarajah
出处
期刊:Statistics
[Taylor & Francis]
日期:2023-01-02
卷期号:57 (1): 150-160
被引量:5
标识
DOI:10.1080/02331888.2023.2168004
摘要
AbstractMotivated by Zhao, Jang and Kim [Journal of Multivariate Analysis, 191, 2022, article number 105109], we propose new closed form estimators for a bivariate gamma distribution. The new estimators are simpler. In addition, they can have smaller asymptotic variances and smaller asymptotic covariances compared to Zhao et al.'s estimators and method of moments estimators. The new estimators can also perform better in real-data applications.Keywords: Covariancedigamma functiontrigamma functionvariance AcknowledgmentsThe authors would like to thank the Editor for careful reading and comments which greatly improved the paper. SN wrote the numerical sections of the paper. VN wrote the rest of the paper. All authors gave explicit consent to publish this manuscript.Disclosure statementNo potential conflict of interest was reported by the author(s).Data availability statementData are listed in the paper.
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