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Refinement bounds for the expected number of renewal epochs over a finite interval 有限时间间隔内预期更新历元数的改进界限
IF 1.9 4区 数学 Q2 STATISTICS & PROBABILITY Pub Date : 2024-01-18 DOI: 10.1080/02331888.2024.2305111
Sotirios Losidis
Primary quantities of interest in renewal theory are the expected number of renewals in (0,t], known as renewal function (denoted by U(t)), and the expected number of renewals in (t,t+h], given by ...
更新理论的主要关注量是(0,t]中的预期更新次数,称为更新函数(用 U(t) 表示),以及(t,t+h]中的预期更新次数,由 ...
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引用次数: 0
Liu-type estimator in Conway–Maxwell–Poisson regression model: theory, simulation and application 康威-麦克斯韦-泊松回归模型中的刘型估计器:理论、模拟与应用
IF 1.9 4区 数学 Q2 STATISTICS & PROBABILITY Pub Date : 2024-01-15 DOI: 10.1080/02331888.2023.2301326
Caner Tanış, Yasin Asar
Recently, many authors have been motivated to propose a new regression estimator in the case of multicollinearity. The most well-known of these estimators are ridge, Liu and Liu-type estimators. Ma...
最近,许多学者都开始提出一种新的多重共线性回归估计器。这些估计器中最著名的是脊型、刘型和刘型估计器。马...
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引用次数: 0
Reliability estimation for Kumaraswamy distribution under block progressive type-II censoring 分块渐进式 II 型普查下库马拉斯瓦米分布的可靠性估计
IF 1.9 4区 数学 Q2 STATISTICS & PROBABILITY Pub Date : 2024-01-09 DOI: 10.1080/02331888.2024.2301736
Rani Kumari, Yogesh Mani Tripathi, Liang Wang, Rajesh Kumar Sinha
In this article, estimates of reliability performance characteristics are discussed when life test is conducted upon various test facilities under block progressive type-II censoring. When the diff...
本文讨论了在块渐进 II 型删减条件下对各种试验设备进行寿命试验时,对可靠性性能特征的估计。当不同的...
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引用次数: 0
Stochastic ordering of variability measure estimators 变异度量估计器的随机排序
IF 1.9 4区 数学 Q2 STATISTICS & PROBABILITY Pub Date : 2024-01-09 DOI: 10.1080/02331888.2023.2299395
Juan Baz, Franco Pellerey, Irene Díaz, Susana Montes
Variability measures, such as the variance or the Gini mean difference, are widely used to summarize the dispersion of random variables. In the statistical setting, it is quite natural to assume th...
方差或基尼平均差等变异度量被广泛用于概括随机变量的离散程度。在统计环境中,假定随机变量的离散性是很自然的。
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引用次数: 0
Variance analysis of multiple importance sampling schemes 多重重要性取样方案的方差分析
IF 1.9 4区 数学 Q2 STATISTICS & PROBABILITY Pub Date : 2023-12-27 DOI: 10.1080/02331888.2023.2294484
Rahul Mukerjee, Víctor Elvira
Multiple importance sampling (MIS) is an increasingly used methodology where several proposal densities are used to approximate integrals, generally involving target probability density functions. ...
多重重要度采样(MIS)是一种使用越来越广泛的方法,它使用多个提议密度来近似积分,通常涉及目标概率密度函数。...
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引用次数: 0
A lower bound of average mixture discrepancy for row augmented designs 行增强设计的平均混合物差异下限
IF 1.9 4区 数学 Q2 STATISTICS & PROBABILITY Pub Date : 2023-12-20 DOI: 10.1080/02331888.2023.2295345
Jiaqi Liu, Kang Wang, Xiaoqing Li, Zujun Ou
Follow-up experimental designs are frequently employed in a wide range of scientific studies and industries. Lower bounds of average mixture discrepancy for row augmented designs are determined in ...
后续实验设计经常被广泛应用于科学研究和工业领域。本文确定了行增强设计的平均混合物差异下限。
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引用次数: 0
A new approach for time domain analysis of multivariate and functional time series 多变量和函数时间序列时域分析的新方法
IF 1.9 4区 数学 Q2 STATISTICS & PROBABILITY Pub Date : 2023-12-19 DOI: 10.1080/02331888.2023.2293738
M. Mohammadpour, S. Rezaee, A. R. Soltani
We apply the classical finite Fourier transform to construct an embedded functional process to a given multivariate time series model. The basic properties of the embedded functional process are pr...
我们应用经典的有限傅里叶变换来构建给定多变量时间序列模型的嵌入函数过程。内嵌函数过程的基本性质是由...
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引用次数: 0
Detection of long range dependence in the time domain for (in)finite-variance time series 有限方差时间序列的时域长距离相关性检测
IF 1.9 4区 数学 Q2 STATISTICS & PROBABILITY Pub Date : 2023-12-01 DOI: 10.1080/02331888.2023.2287749
Marco Oesting, Albert Rapp, Evgeny Spodarev
Empirical detection of long range dependence (LRD) of a time series often consists of deciding whether an estimate of the memory parameter d corresponds to LRD. Surprisingly, the literature offers ...
时间序列的长距离相关性(LRD)的经验检测通常包括判断记忆参数d的估计是否与LRD相对应。令人惊讶的是,文献提供了……
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引用次数: 0
Universally optimal designs for three interference models under circulant correlation 循环相关下三种干涉模型的普遍最优设计
IF 1.9 4区 数学 Q2 STATISTICS & PROBABILITY Pub Date : 2023-11-16 DOI: 10.1080/02331888.2023.2281513
Akram Fakhari-Esferizi, Saeid Pooladsaz
In many areas such as agriculture, forestry, and medicine the interference models arise when the response of a treatment is affected by the other treatments in neighbour experimental plots. In this...
在许多领域,如农业、林业和医学,当一种处理的反应受到邻近试验田中其他处理的影响时,就会出现干扰模型。在这个…
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引用次数: 0
Extropy based inaccuracy measure in order statistics 序统计中基于外倾性的不准确性度量
4区 数学 Q2 STATISTICS & PROBABILITY Pub Date : 2023-11-12 DOI: 10.1080/02331888.2023.2273505
Morteza Mohammadi, Majid Hashempour
AbstractIn this paper, we provide a measure based on inaccuracy between distributions of the ith order statistic and the parent random variable. This measure characterizes the distribution function of parent random variable uniquely. We demonstrate that the extropy of the parent random variable is the average of the accuracy measure. It is also shown that the measure of inaccuracy defined is invariant under scale but not under location transformation. Nonparametric estimators for the proposed measures are also obtained. A Monte Carlo simulation study is performed to verify the performance of the suggested estimators. Simulation results show that the estimator based on the reflection boundary technique for probability density function estimation and the empirical method for cumulative distribution function estimation has the best performance among estimators. Also, a real dataset is considered to show an application of the proposed estimators on model selection.Keywords: Extropyinaccuracy measureorder statisticsnonparametric estimation2000 AMS Subject Classifications: Primary 62F10Secondary 62N05 AcknowledgmentsThe authors would like to thank two anonymous referees and the associate editor for their useful comments and constructive criticisms on the original version of this manuscript which led to this considerably improved version.Disclosure statementNo potential conflict of interest was reported by the author(s).
摘要本文提出了一种基于i阶统计量与父随机变量分布不准确性的度量方法。该方法唯一地表征了父随机变量的分布函数。我们证明了父随机变量的熵是精度度量的平均值。本文还证明了所定义的不准确性度量在尺度变换下是不变的,而在位置变换下则不是。给出了所提测度的非参数估计量。通过蒙特卡罗仿真研究验证了所建议估计器的性能。仿真结果表明,基于反射边界技术的概率密度函数估计和基于经验方法的累积分布函数估计具有最佳的估计性能。此外,还考虑了一个真实数据集来展示所提出的估计器在模型选择上的应用。关键词:外性误差测量顺序统计非参数估计2000 AMS学科分类:初级62f10次要62N05致谢作者要感谢两位匿名审稿人和副编辑对原稿的有用评论和建设性批评,这使得这个版本得到了很大的改进。披露声明作者未报告潜在的利益冲突。
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引用次数: 0
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