Journal of Applied Statistics最新文献

Editorial to the special issue: statistical perspectives on analytics for COVID-19 data. 特刊编辑：COVID-19 数据分析的统计视角。

IF 1.2 4区数学

Journal of Applied Statistics Pub Date : 2023-07-28 eCollection Date: 2023-01-01 DOI: 10.1080/02664763.2023.2228597

Arnold Stromberg, Jie Chen, Teresa Paula Costa Azinheira Oliveira, Yichuan Zhao, Ramin Moghaddass, Milan Stehlik

引用次数: 0

On regime changes of COVID-19 outbreak. 关于 COVID-19 疫情的制度变化。

IF 1.2 4区数学

Journal of Applied Statistics Pub Date : 2023-02-13 eCollection Date: 2023-01-01 DOI: 10.1080/02664763.2023.2177625

A Tchorbadjieff, L P Tomov, V Velev, G Dezhov, V Manev, P Mayster

引用次数: 0

Editorial to the special issue: Statistical Approaches for Big Data and Machine Learning. 特刊编辑：大数据和机器学习的统计方法。

IF 1.2 4区数学

Journal of Applied Statistics Pub Date : 2023-02-07 eCollection Date: 2023-01-01 DOI: 10.1080/02664763.2023.2162471

Yichuan Zhao, Chi-Hua Chen, Feng Feng, Dragan Pamucar

引用次数: 0

Homogeneity test of relative risk ratios for stratified bilateral data under different algorithms. 不同算法下分层双侧数据相对风险比的同质性检验。

IF 1.5 4区数学

Journal of Applied Statistics Pub Date : 2023-01-01 DOI: 10.1080/02664763.2021.2017412

Ke-Yi Mou, Chang-Xing Ma, Zhi-Ming Li

{"title":"Homogeneity test of relative risk ratios for stratified bilateral data under different algorithms.","authors":"Ke-Yi Mou, Chang-Xing Ma, Zhi-Ming Li","doi":"10.1080/02664763.2021.2017412","DOIUrl":"https://doi.org/10.1080/02664763.2021.2017412","url":null,"abstract":"Medical clinical studies about paired body parts often involve stratified bilateral data. The correlation between responses from paired parts should be taken into account to avoid biased or misleading results. This paper aims to test if the relative risk ratios across strata are equal under the optimal algorithms. Based on different algorithms, we obtain the desired global and constrained maximum likelihood estimations (MLEs). Three asymptotic test statistics (i.e. <math><msub><mi>T</mi> <mrow><mi>L</mi></mrow> </msub> </math> , <math><msub><mi>T</mi> <mrow><mi>S</mi> <mi>C</mi></mrow> </msub> </math> and <math><msub><mi>T</mi> <mrow><mi>W</mi></mrow> </msub> </math> ) are proposed. Monte Carlo simulations are conducted to evaluate the performance of these algorithms with respect to mean square errors of MLEs and convergence rate. The empirical results show Fisher scoring algorithm is usually better than other methods since it has effective convergence rate for global MLEs, and makes mean-square error lower for constrained MLEs. Three test statistics are compared in terms of type I error rate (TIE) and power. Among these statistics, <math><msub><mi>T</mi> <mrow><mi>S</mi> <mi>C</mi></mrow> </msub> </math> is recommended according to its robust TIEs and satisfactory power.","PeriodicalId":15239,"journal":{"name":"Journal of Applied Statistics","volume":"50 5","pages":"1060-1077"},"PeriodicalIF":1.5,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10062238/pdf/CJAS_50_2017412.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9236023","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

A random effect regression based on the odd log-logistic generalized inverse Gaussian distribution. 基于奇对数-逻辑广义逆高斯分布的随机效应回归。

IF 1.5 4区数学

Journal of Applied Statistics Pub Date : 2023-01-01 DOI: 10.1080/02664763.2021.2024515

J C S Vasconcelos, G M Cordeiro, E M M Ortega, G O Silva

{"title":"A random effect regression based on the odd log-logistic generalized inverse Gaussian distribution.","authors":"J C S Vasconcelos, G M Cordeiro, E M M Ortega, G O Silva","doi":"10.1080/02664763.2021.2024515","DOIUrl":"https://doi.org/10.1080/02664763.2021.2024515","url":null,"abstract":"In recent decades, the use of regression models with random effects has made great progress. Among these models' attractions is the flexibility to analyze correlated data. In various situations, the distribution of the response variable presents asymmetry or bimodality. In these cases, it is possible to use the normal regression with random effect at the intercept. In light of these contexts, i.e. the desire to analyze correlated data in the presence of bimodality or asymmetry, in this paper we propose a regression model with random effect at the intercept based onthe generalized inverse Gaussian distribution model with correlated data. The maximum likelihood is adopted to estimate the parameters and various simulations are performed for correlated data. A type of residuals for the new regression is proposed whose empirical distribution is close to normal. The versatility of the new regression is demonstrated by estimating the average price per hectare of bare land in 10 municipalities in the state of São Paulo (Brazil). In this context, various databases are constantly emerging, requiring flexible modeling. Thus, it is likely to be of interest to data analysts, and can make a good contribution to the statistical literature.","PeriodicalId":15239,"journal":{"name":"Journal of Applied Statistics","volume":"50 5","pages":"1199-1214"},"PeriodicalIF":1.5,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10062225/pdf/CJAS_50_2024515.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9248466","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Fast inference for robust nonlinear mixed-effects models. 鲁棒非线性混合效应模型的快速推理。

IF 1.5 4区数学

Journal of Applied Statistics Pub Date : 2023-01-01 DOI: 10.1080/02664763.2022.2034141

José Clelto Barros Gomes, Reiko Aoki, Victor Hugo Lachos, Gilberto Alvarenga Paula, Cibele Maria Russo

{"title":"Fast inference for robust nonlinear mixed-effects models.","authors":"José Clelto Barros Gomes, Reiko Aoki, Victor Hugo Lachos, Gilberto Alvarenga Paula, Cibele Maria Russo","doi":"10.1080/02664763.2022.2034141","DOIUrl":"https://doi.org/10.1080/02664763.2022.2034141","url":null,"abstract":"The interest for nonlinear mixed-effects models comes from application areas as pharmacokinetics, growth curves and HIV viral dynamics. However, the modeling procedure usually leads to many difficulties, as the inclusion of random effects, the estimation process and the model sensitivity to atypical or nonnormal data. The scale mixture of normal distributions include heavy-tailed models, as the Student-t, slash and contaminated normal distributions, and provide competitive alternatives to the usual models, enabling the obtention of robust estimates against outlying observations. Our proposal is to compare two estimation methods in nonlinear mixed-effects models where the random components follow a multivariate scale mixture of normal distributions. For this purpose, a Monte Carlo expectation-maximization algorithm (MCEM) and an efficient likelihood-based approximate method are developed. Results show that the approximate method is much faster and enables a fairly efficient likelihood maximization, although a slightly larger bias may be produced, especially for the fixed-effects parameters. A discussion on the robustness aspects of the proposed models are also provided. Two real nonlinear applications are discussed and a brief simulation study is presented.","PeriodicalId":15239,"journal":{"name":"Journal of Applied Statistics","volume":"50 7","pages":"1568-1591"},"PeriodicalIF":1.5,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10184608/pdf/CJAS_50_2034141.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9541785","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Determination of new multiple deferred state sampling plan with economic perspective under Weibull distribution. 威布尔分布下具有经济视角的多重延迟状态抽样新方案的确定。

IF 1.5 4区数学

Journal of Applied Statistics Pub Date : 2023-01-01 DOI: 10.1080/02664763.2022.2091526

Jeyadurga Periyasamypandian, Saminathan Balamurali

{"title":"Determination of new multiple deferred state sampling plan with economic perspective under Weibull distribution.","authors":"Jeyadurga Periyasamypandian, Saminathan Balamurali","doi":"10.1080/02664763.2022.2091526","DOIUrl":"https://doi.org/10.1080/02664763.2022.2091526","url":null,"abstract":"This study focuses on designing a new multiple deferred state sampling plan to ensure products' mean lifetime that complies with Weibull distribution. The parameters that characterize the proposed plan are determined by considering two specified points on the operating characteristic curve. Practical applications of the proposed plan for assuring mean lifetimes of electrical appliances as well as Lithium-ion batteries are explained by using real-time data and simulated data respectively. Sensitivity analysis on testing time of the life test is done and theoretical average sample number is compared with the same obtained by simulation. By comparing the proposed plan with other existing sampling plans based on discriminating power, the number of units required for lot sentencing, it is observed that the new multiple deferred state sampling plan provides quality assurance for the products with low inspection costs compared to the other existing sampling plans. Besides, this study investigates the economic design of a new multiple deferred state sampling plan and compares the total cost needed in the proposed plan with the same required for some other existing sampling plans.","PeriodicalId":15239,"journal":{"name":"Journal of Applied Statistics","volume":"50 13","pages":"2796-2816"},"PeriodicalIF":1.5,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10503450/pdf/CJAS_50_2091526.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10279976","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

The EWMA sign chart revisited: performance and alternatives without and with ties. 重新审视了EWMA标志图表:有无领带的性能和替代方案。

IF 1.5 4区数学

Journal of Applied Statistics Pub Date : 2023-01-01 DOI: 10.1080/02664763.2021.1982879

Theodoros Perdikis, Stelios Psarakis, Philippe Castagliola, Athanasios C Rakitzis, Petros E Maravelakis

{"title":"The EWMA sign chart revisited: performance and alternatives without and with ties.","authors":"Theodoros Perdikis, Stelios Psarakis, Philippe Castagliola, Athanasios C Rakitzis, Petros E Maravelakis","doi":"10.1080/02664763.2021.1982879","DOIUrl":"https://doi.org/10.1080/02664763.2021.1982879","url":null,"abstract":"The EWMA Sign control chart is an efficient tool for monitoring shifts in a process regardless the observations' underlying distribution. Recent studies have shown that, for nonparametric control charts, due to the discrete nature of the statistics being used (such as the Sign statistic), it is impossible to accurately compute their Run Length properties using Markov chain or integral equation methods. In this work, a modified nonparametric Phase II EWMA chart based on the Sign statistic is proposed and its exact Run Length properties are discussed. A continuous transformation of the Sign statistic, combined with the classical Markov Chain method, is used for the determination of the chart's in- and out-of-control Run Length properties. Additionally, we show that when ties occur due to measurement rounding-off errors, the EWMA Sign control chart is no longer distribution-free and a Bernoulli trial approach is discussed to handle the occurrence of ties and makes the proposed chart almost distribution-free. Finally, an illustrative example is provided to show the practical implementation of our proposed chart.","PeriodicalId":15239,"journal":{"name":"Journal of Applied Statistics","volume":"50 1","pages":"170-194"},"PeriodicalIF":1.5,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9754043/pdf/CJAS_50_1982879.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10399948","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Component selection for exponential power mixture models. 指数功率混合模型的元件选择。

IF 1.5 4区数学

Journal of Applied Statistics Pub Date : 2023-01-01 DOI: 10.1080/02664763.2021.1990225

Xinyi Wang, Zhenghui Feng

引用次数: 1

Hierarchical Bayesian spatio-temporal modeling of COVID-19 in the United States. 美国COVID-19的分层贝叶斯时空模型

IF 1.5 4区数学

Journal of Applied Statistics Pub Date : 2023-01-01 DOI: 10.1080/02664763.2022.2069232

Kevin D Dayaratna, Drew Gonshorowski, Mary Kolesar

引用次数: 2