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Parameter estimation for strict arcsine distribution 严格 arcsine 分布的参数估计
IF 0.9 4区 数学 Q3 STATISTICS & PROBABILITY Pub Date : 2024-04-02 DOI: 10.1080/03610918.2024.2335539
Yeh-Ching Low, Yook-Ngor Phang, Wooi-Chen Khoo, Seng-Huat Ong
The two-parameter strict arcsine distribution as a member of the natural exponential family with cubic variance function has been shown to be a viable candidate for statistical analysis of count da...
双参数严格弧线分布是自然指数族中的一个成员,具有三次方差函数,已被证明是对计数数据进行统计分析的一个可行候选参数。
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引用次数: 0
A revisit to Pearson correlation coefficient under multiplicative distortions 重温乘法失真条件下的皮尔逊相关系数
IF 0.9 4区 数学 Q3 STATISTICS & PROBABILITY Pub Date : 2024-04-02 DOI: 10.1080/03610918.2024.2333352
Siming Deng, Jun Zhang, Yingcong Huang, Jiongtao Zhong, Xiaozhen Yang
We consider the estimation of Pearson correlation coefficient when two continuous variables can not be directly observed but measured with multiplicative distortion measurement errors. Different fr...
我们考虑的是当两个连续变量无法直接观测,而是以乘法失真测量误差进行测量时的皮尔逊相关系数估计问题。不同的测量误差会产生不同的相关系数。
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引用次数: 0
Simultaneous variable selection and parameters estimation for longitudinal data subject to missingness and covariates measurement error 受缺失和协变量测量误差影响的纵向数据的同步变量选择和参数估计
IF 0.9 4区 数学 Q3 STATISTICS & PROBABILITY Pub Date : 2024-04-02 DOI: 10.1080/03610918.2024.2333355
Heba A. Basha, Abdelnaser S. Abdrabou, Ahmed M. Gad, Wafaa I. M. Ibrahim
Longitudinal studies are indispensable to study the change over time in a response variable. The main challenge of such studies is the presence of missing values. Another challenge in these studies...
纵向研究对于研究响应变量随时间的变化是必不可少的。这类研究的主要挑战是存在缺失值。这些研究的另一个挑战是...
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引用次数: 0
From bibliometrics to text mining: exploring feature selection methods in microarray research 从文献计量学到文本挖掘:探索微阵列研究中的特征选择方法
IF 0.9 4区 数学 Q3 STATISTICS & PROBABILITY Pub Date : 2024-03-31 DOI: 10.1080/03610918.2024.2331083
Guilherme Alberto Sousa Ribeiro, Rommel Melgaço Barbosa, Márcio da Cunha Reis, Nattane Luiza Costa
Text mining (TM) is a technique that aims to extract knowledge from unstructured data sources by transforming them into structured data. TM algorithms can be used to detect hidden patterns in large...
文本挖掘(TM)是一种技术,旨在通过将非结构化数据转换为结构化数据,从非结构化数据源中提取知识。文本挖掘算法可用于检测大量数据中隐藏的模式。
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引用次数: 0
Double sparsity garrotized kernel machine in high-dimensional partially linear model 高维部分线性模型中的双稀疏加码核机
IF 0.9 4区 数学 Q3 STATISTICS & PROBABILITY Pub Date : 2024-03-31 DOI: 10.1080/03610918.2024.2329244
Xinyi Zhao, Yaohua Rong, Junze Lin, Maozai Tian, Jinwen Liang
Obtaining excellent prediction accuracy in the high-dimensional partially linear model is particularly important. However, it is difficult to achieve due to the complex relationship between nonpara...
在高维部分线性模型中获得出色的预测精度尤为重要。然而,由于非线性模型与线性模型之间的复杂关系,要实现这一目标非常困难。
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引用次数: 0
Multiple arbitrarily inflated Poisson regression analysis 多重任意膨胀泊松回归分析
IF 0.9 4区 数学 Q3 STATISTICS & PROBABILITY Pub Date : 2024-03-31 DOI: 10.1080/03610918.2024.2331624
Ihab Abusaif, Burak Kayacı, Coşkun Kuş
In this paper, a new flexible count regression analysis is proposed. For this purpose, a new modification of the Poisson distribution is introduced which generalizes the Poisson, zero-inflated Pois...
本文提出了一种新的灵活计数回归分析方法。为此,本文引入了对泊松分布的一种新的修正,它概括了泊松分布、零膨胀泊松分布和零膨胀泊松分布。
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引用次数: 0
Comment on ‘generating survival times with time-varying covariates using the Lambert W function’ 关于 "利用兰伯特 W 函数生成具有时变协变量的生存时间 "的评论
IF 0.9 4区 数学 Q3 STATISTICS & PROBABILITY Pub Date : 2024-03-25 DOI: 10.1080/03610918.2024.2333350
J. H. McVittie
Published in Communications in Statistics - Simulation and Computation (Ahead of Print, 2024)
发表于《统计学通讯--模拟与计算》(2024 年,提前出版)
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引用次数: 0
A new over-dispersed count model based on Poisson-Geometric convolution 基于泊松-几何卷积的新过度分散计数模型
IF 0.9 4区 数学 Q3 STATISTICS & PROBABILITY Pub Date : 2024-03-21 DOI: 10.1080/03610918.2024.2329997
Anupama Nandi, Subrata Chakraborty, Aniket Biswas
A new two-parameter discrete distribution, namely the PoiG distribution, is derived by the convolution of a Poisson variate and an independently distributed geometric random variable. This distribu...
一种新的双参数离散分布,即 PoiG 分布,是由一个泊松变量和一个独立分布的几何随机变量卷积而成的。该分布是一种新的双参数离散分布,即 PoiG 分布。
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引用次数: 0
Hypothesis testing of one sample mean vector in distributed frameworks 分布式框架中单个样本均值向量的假设检验
IF 0.9 4区 数学 Q3 STATISTICS & PROBABILITY Pub Date : 2024-03-21 DOI: 10.1080/03610918.2024.2329992
Bin Du, Junlong Zhao, Xin Zhang
Distributed frameworks are commonly used in the setting where data are stored in k different local machines and cannot be merged due to privacy protections or the huge sample size. For a random vec...
分布式框架常用于数据存储在 k 台不同的本地机器中,并且由于隐私保护或样本量巨大而无法合并的情况。对于随机矢量,分布式框架是最有效的方法。
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引用次数: 0
Platinum and palladium price forecasting through neural networks 通过神经网络预测铂钯价格
IF 0.9 4区 数学 Q3 STATISTICS & PROBABILITY Pub Date : 2024-03-21 DOI: 10.1080/03610918.2024.2330700
Xiaojie Xu, Yun Zhang
To many commodity market participants, forecasts of price series represent a critical task. In this work, nonlinear autoregressive neural network models’ potential is explored for forecasting daily...
对于许多商品市场参与者来说,价格序列的预测是一项至关重要的任务。在这项工作中,探索了非线性自回归神经网络模型在预测每日...
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引用次数: 0
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Communications in Statistics-Simulation and Computation
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