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An empirical likelihood-based unified test for the integer-valued AR(1) models

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成果类型:
期刊论文
作者:
Zhang, Jing;Li, Bo;Wang, Yu;Wei, Xinyi;Liu, Xiaohui
通讯作者:
Liu, XH
作者机构:
[Zhang, Jing; Li, Bo; Wang, Yu] Cent China Normal Univ, Sch Math & Stat, Wuhan 430079, Hubei, Peoples R China.
[Zhang, Jing] Jiangxi Univ Finance & Econ, Sch Software & Internet Things Engn, Nanchang 330013, Jiangxi, Peoples R China.
[Wei, Xinyi; Liu, Xiaohui] Jiangxi Univ Finance & Econ, Sch Stat & Data Sci, Nanchang 330013, Jiangxi, Peoples R China.
[Wei, Xinyi; Liu, Xiaohui] Jiangxi Univ Finance & Econ, Key Lab Data Sci Finance & Econ, Nanchang 330013, Jiangxi, Peoples R China.
通讯机构:
[Liu, XH ] J
Jiangxi Univ Finance & Econ, Sch Stat & Data Sci, Nanchang 330013, Jiangxi, Peoples R China.
Jiangxi Univ Finance & Econ, Key Lab Data Sci Finance & Econ, Nanchang 330013, Jiangxi, Peoples R China.
语种:
英文
关键词:
Integer-valued autoregressive model;Empirical likelihood;Stable INAR;Unstable INAR
期刊:
Journal of Statistical Planning and Inference
ISSN:
0378-3758
年:
2024
卷:
232
页码:
106149
基金类别:
NSF of China [62377019, 11971208, 92358303]; National Social Science Foundation of China [21ZD152]; Outstanding Youth Fund Project of the Science and Technology Department of Jiangxi Province [20224ACB211003]
机构署名:
本校为第一机构
院系归属:
数学与统计学学院
摘要:
In this paper, we suggest an empirical likelihood -based test for the autoregressive coefficient of an integer -valued AR(1) model, i.e., INAR(1). We derive the limit distributions of the resulting test statistic under both null and alternative hypotheses. It turns out that regardless of whether the INAR process is stable or unstable, the statistic is always chi -squared distributed asymptotically under the null hypothesis, and as a result, it can offer unified inferences for the autoregressive coefficient. The performance of its finite s...

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