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Comments: A review of testing procedures based on the empirical characteristic function

机译:评论:基于经验特征函数的测试程序的回顾

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摘要

It is a nicely and clearly written paper on statistical procedures based on the empirical characteristic function (ECF). The paper provides an overview of recently developed goodness-of-fit tests based on functionals of the ECF for both simple setups as well as rather advanced situations (with nuisance parameters). The author also touches on procedures based on the ECF for the k-sample problem. In this discussion I would like to bring attention to another class of procedures based on the ECFs used in change point analysis, that is, a class of statistical procedures for the detection of instabilities in various statistical models based on functionals of the ECFs.
机译:这是一篇基于经验特征函数(ECF)的关于统计程序的精美清晰的论文。本文概述了基于ECF功能的最近开发的拟合优度测试,适用于简单的设置以及相当高级的情况(带有讨厌的参数)。作者还介绍了基于ECF的k样本问题程序。在此讨论中,我想提请注意基于更改点分析中使用的ECF的另一类程序,即用于检测基于ECF功能的各种统计模型中的不稳定性的一类统计程序。

著录项

  • 来源
    《South African statistical journal》 |2016年第1期|17-22|共6页
  • 作者

    Hušková Marie;

  • 作者单位

    Department of Statistics, Charles University in Prague, Sokolovská 83, Prague, Czech Republic;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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