相关实验视频
Updated: Jan 9, 2026

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A User-friendly and Powerful R Analysis of Large-scale Datasets
Published on: November 4, 2025
313
一个用于计算和评估模糊贫困指数的R工具:软件包FuzzyPovertyRR.
F Crescenzi1, L Mori2, G Betti3
1Department of Economics, Statistics and Business, Universitas Mercatorum, Rome, Italy.
Journal of applied statistics
|December 4, 2025
概括
本研究介绍了FuzzyPovertyR,这是一个用于估计模糊贫困指数的R包. 它提供了计算单一和多维贫困指标的工具,具有各种成员函数和差异估计方法.
科学领域:
- 经济学 经济学 经济学
- 统计 统计 统计 统计
- 计算社会科学 计算社会科学
背景情况:
- 模糊集合理论越来越多地用于贫困估计.
- 有各种方法来定义会员职能和计算模糊的贫困指数.
- 对于这些估计来说,显然需要一个统一的R包.
研究的目的:
- 引入新的R包FuzzyPovertyR,用于估计模糊的贫困指数.
- 用意大利的单一和多维贫困指数来证明该方案的实用性.
- 提供工具来选择会员函数和估计指数方差.
主要方法:
- 开发了FuzzyPovertyRR套餐的开发工作.
- 意大利NUTS 2级的三个模糊贫困指数 (一个多维,两个单维) 的估计.
- 实施杰克-Knife和引导方法用于差异估计.
主要成果:
- 软件包FuzzyPovertyR成功估计了模糊的贫困指数.
- 该套餐允许灵活选择会员功能.
- 差异估计是通过Jack-Knife和启动程序支持的.
结论:
- FuzzyPovertyR提供了一个全面的工具,用于模糊的贫困指数估计.
- 该套件有助于在贫困分析中应用模糊集合理论.
- 它支持对模糊贫困指标的可靠差异估计.
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