Exact two-sided confidence sets for a level set in simple linear regression

IF 0.6 4区 数学 Q3 STATISTICS & PROBABILITY
Fang Wan, Wei Liu, Frank Bretz
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引用次数: 0

Abstract

Regression modeling is the workhorse of statistics. It is realized in recent years that one important aim in regression analysis may be the estimation of a level set of the regression function. The published work on this has thus far focused mainly on nonparametric regression, especially on point estimation. In our previous work, we constructed exact upper and lower, but only conservative two-sided, confidence sets for a level set in linear regression. In this paper, exact two-sided confidence sets are constructed in simple linear regression. A simultaneity property of the exact two-sided confidence is also studied. An example is given to illustrate the method.

简单线性回归中水平集的精确双侧置信集
回归建模是统计学的主力。近年来,人们认识到回归分析的一个重要目标可能是估计回归函数的水平集。迄今为止,已发表的研究主要集中在非参数回归上,特别是在点估计上。在我们之前的工作中,我们为线性回归中的水平集构建了精确的上限和下限,但只有保守的双边置信集。本文构造了简单线性回归的精确双侧置信集。研究了精确双侧置信度的同时性。最后给出了一个实例来说明该方法。
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来源期刊
CiteScore
2.00
自引率
0.00%
发文量
39
审稿时长
6-12 weeks
期刊介绍: Annals of the Institute of Statistical Mathematics (AISM) aims to provide a forum for open communication among statisticians, and to contribute to the advancement of statistics as a science to enable humans to handle information in order to cope with uncertainties. It publishes high-quality papers that shed new light on the theoretical, computational and/or methodological aspects of statistical science. Emphasis is placed on (a) development of new methodologies motivated by real data, (b) development of unifying theories, and (c) analysis and improvement of existing methodologies and theories.
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