Statistical Theory and Related Fields最新文献

Bayesian-inspired minimum contamination designs under a double-pair conditional effect model 双对条件效应模型下贝叶斯启发的最小污染设计

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Statistical Theory and Related Fields Pub Date : 2023-08-30 DOI: 10.1080/24754269.2023.2250237

Ming-Chung Chang

引用次数: 0

The study on systemic risk of rural finance based on macro–micro big data and machine learning 基于宏观-微观大数据和机器学习的农村金融系统性风险研究

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Statistical Theory and Related Fields Pub Date : 2023-08-06 DOI: 10.1080/24754269.2023.2238975

Wanling Zhou, Sulin Pang, Zhiliang He

引用次数: 0

Single-arm phase II three-outcome designs with handling of over-running/under-running 单臂II期三结局设计，处理过跑/过跑

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Statistical Theory and Related Fields Pub Date : 2023-06-28 DOI: 10.1080/24754269.2023.2189348

W. Guo, Jianan Hui, Bob Zhong

引用次数: 0

Bayesian autoregressive adaptive refined descriptive sampling algorithm in the Monte Carlo simulation 贝叶斯自回归自适应精细描述性采样算法在蒙特卡洛模拟中的应用

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Statistical Theory and Related Fields Pub Date : 2023-05-15 DOI: 10.1080/24754269.2023.2180225

Djoweyda Ghouil, Megdouda Ourbih-Tari

引用次数: 0

Applications of Burr III- Weibull quantile function in reliability analysis BurrⅢ-Weibull分位数函数在可靠性分析中的应用

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Statistical Theory and Related Fields Pub Date : 2023-05-09 DOI: 10.1080/24754269.2023.2201096

G. S. Deepthy, Nicy Sebastian, N. Chandra

引用次数: 0

A distribution-free test of independence based on a modified mean variance index 基于修正均值方差指数的无分布独立性检验

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Statistical Theory and Related Fields Pub Date : 2023-04-28 DOI: 10.1080/24754269.2023.2201101

Weidong Ma, Fei Ye, Jingsong Xiao, Ying Yang

{"title":"A distribution-free test of independence based on a modified mean variance index","authors":"Weidong Ma, Fei Ye, Jingsong Xiao, Ying Yang","doi":"10.1080/24754269.2023.2201101","DOIUrl":"https://doi.org/10.1080/24754269.2023.2201101","url":null,"abstract":"Cui and Zhong (2019), (Computational Statistics & Data Analysis, 139, 117–133) proposed a test based on the mean variance (MV) index to test independence between a categorical random variable Y with R categories and a continuous random variable X. They ingeniously proved the asymptotic normality of the MV test statistic when R diverges to infinity, which brings many merits to the MV test, including making it more convenient for independence testing when R is large. This paper considers a new test called the integral Pearson chi-square (IPC) test, whose test statistic can be viewed as a modified MV test statistic. A central limit theorem of the martingale difference is used to show that the asymptotic null distribution of the standardized IPC test statistic when R is diverging is also a normal distribution, rendering the IPC test sharing many merits with the MV test. As an application of such a theoretical finding, the IPC test is extended to test independence between continuous random variables. The finite sample performance of the proposed test is assessed by Monte Carlo simulations, and a real data example is presented for illustration.","PeriodicalId":22070,"journal":{"name":"Statistical Theory and Related Fields","volume":"7 1","pages":"235 - 259"},"PeriodicalIF":0.5,"publicationDate":"2023-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42988102","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Evaluation of the Canadian government policies on controlling the COVID-19 outbreaks 加拿大政府控制新冠肺炎疫情的政策评估

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Statistical Theory and Related Fields Pub Date : 2023-04-28 DOI: 10.1080/24754269.2023.2201108

Mengyao Chen, Yuehua Wu, B. Jin

{"title":"Evaluation of the Canadian government policies on controlling the COVID-19 outbreaks","authors":"Mengyao Chen, Yuehua Wu, B. Jin","doi":"10.1080/24754269.2023.2201108","DOIUrl":"https://doi.org/10.1080/24754269.2023.2201108","url":null,"abstract":"In this paper, we investigate the COVID-19 pandemic in Canada and evaluate the Canadian government policies on controlling COVID-19 outbreaks. The first case of COVID-19 was reported in Ontario on 25 January 2020. Since then, there have been over million cases by now. During this time period, the federal, provincial and local governments have implemented regulations and policies in order to control the pandemic. To evaluate these government policies, which may be done by analysing the infection rate, infection period and reproductive number of COVID-19, we approach the problem by introducing an extended susceptible-exposed-infectious-removed (SEIR) model and conduct the model inference by using the iterated filter ensemble adjustment Kalman filter (IF-EAKF) algorithm. We first divide the time period into phases according to the policy intensities in each province by segmenting the time period from 4 March 2020 to 31 October 2020 into three time phases: the exploding phase, the strict policy implementation phase, and the provincial reopening phase. We then use IF-EAKF algorithm to obtain the estimates of the model parameters. We show that the infection rate in the second phase is lower than that in both first and third phases. We also discuss the number of new COVID-19 cases under different policy intensities and different policy durations in the third wave of the pandemic.","PeriodicalId":22070,"journal":{"name":"Statistical Theory and Related Fields","volume":"7 1","pages":"223 - 234"},"PeriodicalIF":0.5,"publicationDate":"2023-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49622158","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Kernel regression utilizing heterogeneous datasets 利用异构数据集的核回归

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Statistical Theory and Related Fields Pub Date : 2023-04-28 DOI: 10.1080/24754269.2023.2202579

Chi-Shian Dai, Jun Shao

引用次数: 0

How to implement the ‘one patient, one vote’ principle under the framework of estimand 如何在评估框架下落实“一个病人一票”原则

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Statistical Theory and Related Fields Pub Date : 2023-04-15 DOI: 10.1080/24754269.2023.2164943

Naitee Ting

引用次数: 0

On the construction of balanced repeated measurements designs with good circular properties 关于具有良好圆特性的平衡重复测量设计的构造