Higher-order expansions of sample range from general error distribution-Reference-Cited by-同舟云学术

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Higher-order expansions of sample range from general error distribution

Published:2023-03-08 Issue: Volume: Page:1-21
ISSN:0361-0926
Container-title:Communications in Statistics - Theory and Methods
language:en
Short-container-title:Communications in Statistics - Theory and Methods

Author:

Lu Yingyin¹,Liao Xin²,Guo Jinhui³

Affiliation:

1. School of Science, Southwest Petroleum University, Chengdu, China

2. School of Business, University of Shanghai for Science and Technology, Shanghai, China

3. Joint Laboratory of Data Science and Business Intelligence, Southwestern University of Finance and Economics, Chengdu, China

Funder

Natural Science Foundation of Sichuan Province

Project for Humanities and Social Sciences of USST

Publisher

Informa UK Limited

Subject

Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/03610926.2023.2184187

Reference26 articles.

1. FINITE-SAMPLE PROPERTIES OF FORECASTS FROM THE STATIONARY FIRST-ORDER AUTOREGRESSIVE MODEL UNDER A GENERAL ERROR DISTRIBUTION

2. New extreme value theory for maxima of maxima

3. Rates of convergence of extreme for general error distribution under power normalization

4. Weak limits of sample range

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