Structural stability of functional data — A new adjusted-range-based self-normalization approach

IF 1.8 4区经济学 Q2 ECONOMICS

Economics Letters Pub Date : 2025-05-06 DOI:10.1016/j.econlet.2025.112350

Jiajing Sun , Yongmiao Hong , Zhuo Lin , Weichao Xu

引用次数: 0

Abstract

We propose an adjusted-range-based self-normalization method for testing structural stability in functional data. The approach improves computational efficiency and performs well in empirical applications to temperature data from New York Central Park Weather Station.

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函数数据的结构稳定性——一种新的基于调整范围的自归一化方法

我们提出了一种基于调整范围的自归一化方法来测试功能数据的结构稳定性。该方法提高了计算效率，并在纽约中央公园气象站温度数据的实证应用中取得了良好的效果。

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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来源期刊

Economics Letters ECONOMICS-

CiteScore

3.20

自引率

5.00%

发文量

348

审稿时长

30 days

期刊介绍： Many economists today are concerned by the proliferation of journals and the concomitant labyrinth of research to be conquered in order to reach the specific information they require. To combat this tendency, Economics Letters has been conceived and designed outside the realm of the traditional economics journal. As a Letters Journal, it consists of concise communications (letters) that provide a means of rapid and efficient dissemination of new results, models and methods in all fields of economic research.