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Zero-adjusted beta prime regression model

delete2026-01-01
delete0
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OA
AI
D
dos Santos, Kleber H. *
T
Tarciana Liberal Pereira
C
Corpes, Gedeao do N.
S
Souza, Tatiene C.
S
Santos-Neto, Manoel
M
Marcelo Bourguignon
DOI：10.1007/s10182-026-00558-5delete
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摘要

摘要

En 中文
在正实数线上存在大量零值的连续数据存在实际应用场景。在此基础上，利用贝塔 prime (BP) 分布的灵活性，我们引入了零调整 BP 分布以适应零值的存在，并提出零调整 BP 回归模型，以处理因因变量数据中存在零值时的回归估计问题。采用最大似然法估计模型参数，并进行了残差分析。通过模拟研究评估其有限样本性能。最后，详细讨论了由圣保罗大学生物医学研究所进行的一项关于串珠镰刀菌玉米中伏马菌素生产的人口基础研究中的实际数据集。
Keyword:
Beta Prime distribution
Maximum likelihood estimates
Positive real data
Regression model
Zero adjusted

期刊

A
ASTA-ADVANCES IN STATISTICAL ANALYSIS
IF:
1.4
论文数:
24
被引数:
0

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Universidade Federal de Pernambuco
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1.3W
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universidade federal do ceará
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945
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