Visualizing uncertainty in a two-dimensional estimate using confidence and comparison regions

IF 3.2 2区数学 Q1 SOCIAL SCIENCES, MATHEMATICAL METHODS

Stata Journal Pub Date : 2023-06-01 DOI:10.1177/1536867X231175314

Maren Eckert, W. Vach

引用次数: 0

Abstract

Recently, Eckert and Vach (2020, Biometrical Journal 62: 598–609) pointed out that both confidence and comparison regions are useful tools to visualize uncertainty in a two-dimensional estimate. Both types of regions can be based on inverting Wald tests or likelihood-ratio tests. confcomptwo enables Stata users to draw both types of regions following one of the two principles for various two-dimensional estimation problems. The use of confcomptwo is illustrated by several examples.

查看原文本刊更多论文

利用置信度和比较区域可视化二维估计中的不确定性

最近，Eckert和Vach (2020, biometic Journal 62: 598-609)指出，置信度和比较区域都是在二维估计中可视化不确定性的有用工具。这两种类型的区域都可以基于反转Wald检验或似然比检验。confcomptwo使Stata用户能够根据两个原则中的一个来绘制两种类型的区域，用于各种二维估计问题。通过几个例子说明了confcomptwo的用法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Stata Journal 数学-统计学与概率论

CiteScore

7.80

自引率

4.20%

发文量

审稿时长

>12 weeks

期刊介绍： The Stata Journal is a quarterly publication containing articles about statistics, data analysis, teaching methods, and effective use of Stata''s language. The Stata Journal publishes reviewed papers together with shorter notes and comments, regular columns, book reviews, and other material of interest to researchers applying statistics in a variety of disciplines.