Nonparametric confidence intervals for generalized Lorenz curve using modified empirical likelihood

IF 1 4区 数学 Q3 STATISTICS & PROBABILITY Computational Statistics Pub Date : 2023-11-03 DOI:10.1007/s00180-023-01431-8
Suthakaran Ratnasingam, Spencer Wallace, Imran Amani, Jade Romero
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基于修正经验似然的广义Lorenz曲线非参数置信区间
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来源期刊
Computational Statistics
Computational Statistics 数学-统计学与概率论
CiteScore
2.90
自引率
0.00%
发文量
122
审稿时长
>12 weeks
期刊介绍: Computational Statistics (CompStat) is an international journal which promotes the publication of applications and methodological research in the field of Computational Statistics. The focus of papers in CompStat is on the contribution to and influence of computing on statistics and vice versa. The journal provides a forum for computer scientists, mathematicians, and statisticians in a variety of fields of statistics such as biometrics, econometrics, data analysis, graphics, simulation, algorithms, knowledge based systems, and Bayesian computing. CompStat publishes hardware, software plus package reports.
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