平均绝对偏差的贝叶斯经验似然推论

IF 1.2 4区数学 Q2 STATISTICS & PROBABILITY

Statistics Pub Date : 2024-03-12 DOI:10.1080/02331888.2024.2325412

Hongyan Jiang, Yichuan Zhao

引用次数: 0

摘要

平均绝对偏差（MAD）是随机变量对其平均值的离散程度的直接度量。本文采用经验似然法（EL）和调整 EL 法计算 MAD。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Bayesian empirical likelihood inference for the mean absolute deviation

The mean absolute deviation (MAD) is a direct measure of the dispersion of a random variable about its mean. In this paper, the empirical likelihood (EL) and the adjusted EL methods for the MAD are...

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来源期刊

Statistics 数学-统计学与概率论

CiteScore

1.00

自引率

0.00%

发文量

审稿时长

12 months

期刊介绍： Statistics publishes papers developing and analysing new methods for any active field of statistics, motivated by real-life problems. Papers submitted for consideration should provide interesting and novel contributions to statistical theory and its applications with rigorous mathematical results and proofs. Moreover, numerical simulations and application to real data sets can improve the quality of papers, and should be included where appropriate. Statistics does not publish papers which represent mere application of existing procedures to case studies, and papers are required to contain methodological or theoretical innovation. Topics of interest include, for example, nonparametric statistics, time series, analysis of topological or functional data. Furthermore the journal also welcomes submissions in the field of theoretical econometrics and its links to mathematical statistics.