基于降水和Covid-19数据应用的新pareto型记录的推断

A. S. Nik, A. Asgharzadeh, A. Baklizi
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引用次数: 0

摘要

我们考虑基于Bourguignon等人(2016)最近提出的新帕累托型分布的观测记录来估计和预测未来记录。陈建军,陈建军,陈建军。一种新的Pareto-type分布在可靠性和收入数据中的应用,物理学报,2016,41(4),166-175。我们在前n条记录的基础上推导出未来记录的几个点预测因子。对降水和Covid - 19的两个真实数据集进行了分析,并进行了蒙特卡罗模拟研究,以评估本文提出的点预测器的统计性能。
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Inference Based on New Pareto-Type Records With Applications to Precipitation and Covid-19 Data
We consider estimation and prediction of future records based on observed records from the new Pareto type distribution proposed recently by Bourguignon et al. (2016), “M. Bourguignon, H. Saulo, R. N. Fernandez, A new Pareto-type distribution with applications in reliability and income data, Physica A, 457 (2016), 166-175.”. We derived several point predictors for a future record on the basis of the first n records. Two real data sets on precipitation and Covid 19 are analysed and a Monte Carlo simulation study has been performed to evaluate the statistical performance of point predictors presented in this paper.
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