Journal of Probability and Statistics最新文献_第8页

Fully Bayesian Estimation of Simultaneous Regression Quantiles under Asymmetric Laplace Distribution Specification 非对称拉普拉斯分布规范下同步回归分位数的全贝叶斯估计

IF 1.1

Journal of Probability and Statistics Pub Date : 2019-06-02 DOI: 10.1155/2019/8610723

Josephine Merhi Bleik

引用次数: 4

New Advances in Biostatistics 生物统计学新进展

IF 1.1

Journal of Probability and Statistics Pub Date : 2019-05-16 DOI: 10.1155/2019/1352310

Yichuan Zhao, A. Abebe, L. Qi, M. Zhang, Xu Zhang

引用次数: 1

New Link Functions for Distribution–Specific Quantile Regression Based on Vector Generalized Linear and Additive Models 基于向量广义线性和加性模型的分布特定分位数回归的新连接函数

IF 1.1

Journal of Probability and Statistics Pub Date : 2019-05-07 DOI: 10.1155/2019/3493628

V. Miranda-Soberanis, T. Yee

{"title":"New Link Functions for Distribution–Specific Quantile Regression Based on Vector Generalized Linear and Additive Models","authors":"V. Miranda-Soberanis, T. Yee","doi":"10.1155/2019/3493628","DOIUrl":"https://doi.org/10.1155/2019/3493628","url":null,"abstract":"In the usual quantile regression setting, the distribution of the response given the explanatory variables is unspecified. In this work, the distribution is specified and we introduce new link functions to directly model specified quantiles of seven 1–parameter continuous distributions. Using the vector generalized linear and additive model (VGLM/VGAM) framework, we transform certain prespecified quantiles to become linear or additive predictors. Our parametric quantile regression approach adopts VGLMs/VGAMs because they can handle multiple linear predictors and encompass many distributions beyond the exponential family. Coupled with the ability to fit smoothers, the underlying strong assumption of the distribution can be relaxed so as to offer a semiparametric–type analysis. By allowing multiple linear and additive predictors simultaneously, the quantile crossing problem can be avoided by enforcing parallelism constraint matrices. This article gives details of a software implementation called the VGAMextra package for R. Both the data and recently developed software used in this paper are freely downloadable from the internet.","PeriodicalId":44760,"journal":{"name":"Journal of Probability and Statistics","volume":" ","pages":""},"PeriodicalIF":1.1,"publicationDate":"2019-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1155/2019/3493628","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44684457","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

Bootstrapping Nonparametric Prediction Intervals for Conditional Value-at-Risk with Heteroscedasticity 具有异方差条件风险值的自举非参数预测区间

IF 1.1

Journal of Probability and Statistics Pub Date : 2019-05-07 DOI: 10.1155/2019/7691841

E. Torsen, Lema Logamou Seknewna

引用次数: 5

Biostatistical Assessment of Mutagenicity Studies: A Stepwise Confidence Procedure 致突变性研究的生物统计学评估:逐步置信度程序

IF 1.1

Journal of Probability and Statistics Pub Date : 2019-04-14 DOI: 10.1155/2019/3249097

Michael J. Adjabui, Nathaniel K. Howard, M. Akamba

{"title":"Biostatistical Assessment of Mutagenicity Studies: A Stepwise Confidence Procedure","authors":"Michael J. Adjabui, Nathaniel K. Howard, M. Akamba","doi":"10.1155/2019/3249097","DOIUrl":"https://doi.org/10.1155/2019/3249097","url":null,"abstract":"The paper addresses the issue of identifying the maximum safe dose in the context of noninferiority trials where several doses of toxicological compounds exist. Statistical methodology for identifying the maximum safe dose is available for three-arm noninferiority designs with only one experimental drug treatment. Extension of this methodology for several experimental groups exists but with multiplicity adjustment. However, if the experimental or the treatment groups can be ordered a priori according to their treatment effect, then multiplicity adjustment is unneeded. Assuming homogeneity of variances across dose group in normality settings, we employed the generalized Fieller’s confidence interval method in a multiple comparison stepwise procedure by incorporating the partitioning principle in order to control the familywise error rate (FWER). Simulation results revealed that the procedure properly controlled the FWER in strong sense. Also, the power of our procedure increases with increasing sample size and the ratio of mean differences. We illustrate our procedure with mutagenicity dataset from a clinical study.","PeriodicalId":44760,"journal":{"name":"Journal of Probability and Statistics","volume":" ","pages":""},"PeriodicalIF":1.1,"publicationDate":"2019-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1155/2019/3249097","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49086927","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: 3

Group Identification and Variable Selection in Quantile Regression 分位数回归中的群体识别与变量选择

IF 1.1

Journal of Probability and Statistics Pub Date : 2019-04-10 DOI: 10.1155/2019/8504174

A. Alkenani, Basim Shlaibah Msallam

引用次数: 0

Exponentiated Inverse Rayleigh Distribution and an Application to Coating Weights of Iron Sheets Data 指数逆瑞利分布及其在铁皮涂层重量数据中的应用

IF 1.1

Journal of Probability and Statistics Pub Date : 2019-04-01 DOI: 10.1155/2019/7519429

G. S. Rao, S. Mbwambo

{"title":"Exponentiated Inverse Rayleigh Distribution and an Application to Coating Weights of Iron Sheets Data","authors":"G. S. Rao, S. Mbwambo","doi":"10.1155/2019/7519429","DOIUrl":"https://doi.org/10.1155/2019/7519429","url":null,"abstract":"This article aims to introduce a generalization of the inverse Rayleigh distribution known as exponentiated inverse Rayleigh distribution (EIRD) which extends a more flexible distribution for modeling life data. Some statistical properties of the EIRD are investigated, such as mode, quantiles, moments, reliability, and hazard function. We describe different methods of parametric estimations of EIRD discussed by using maximum likelihood estimators, percentile based estimators, least squares estimators, and weighted least squares estimators and compare those estimates using extensive numerical simulations. The performances of the proposed methods of estimation are compared by Monte Carlo simulations for both small and large samples. To illustrate these methods in a practical application, a data analysis of real-world coating weights of iron sheets is obtained from the ALAF industry, Tanzania, during January-March, 2018. ALAF industry uses aluminum-zinc galvanization technology in the coating process. This application identifies the EIRD as a better model than other well-known distributions in modeling lifetime data.","PeriodicalId":44760,"journal":{"name":"Journal of Probability and Statistics","volume":" ","pages":""},"PeriodicalIF":1.1,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1155/2019/7519429","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45516875","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: 30

Parameter Evaluation for a Statistical Mechanical Model for Binary Choice with Social Interaction 具有社会相互作用的二元选择统计力学模型的参数评价

IF 1.1

Journal of Probability and Statistics Pub Date : 2019-03-04 DOI: 10.1155/2019/3435626

A. Opoku, Godwin Osabutey, C. Kwofie

{"title":"Parameter Evaluation for a Statistical Mechanical Model for Binary Choice with Social Interaction","authors":"A. Opoku, Godwin Osabutey, C. Kwofie","doi":"10.1155/2019/3435626","DOIUrl":"https://doi.org/10.1155/2019/3435626","url":null,"abstract":"In this paper we use a statistical mechanical model as a paradigm for educational choices when the reference population is partitioned according to the socioeconomic attributes of gender and residence. We study how educational attainment is influenced by socioeconomic attributes of gender and residence for five selected developing countries. The model has a social and a private incentive part with coefficients measuring the influence individuals have on each other and the external influence on individuals, respectively. The methods of partial least squares and the ordinary least squares are, respectively, used to estimate the parameters of the interacting and the noninteracting models. This work differs from the previous work that motivated this work in the following sense: (a) the reference population is divided into subgroups with unequal subgroup sizes, (b) the proportion of individuals in each of the subgroups may depend on the population size N, and (c) the method of partial least squares is used for estimating the parameters of the model with social interaction as opposed to the least squares method used in the earlier work.","PeriodicalId":44760,"journal":{"name":"Journal of Probability and Statistics","volume":" ","pages":""},"PeriodicalIF":1.1,"publicationDate":"2019-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1155/2019/3435626","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42523173","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: 5

Improved Small Sample Inference on the Ratio of Two Coefficients of Variation of Two Independent Lognormal Distributions 两个独立对数正态分布的两个变差系数比值的改进小样本推理

IF 1.1

Journal of Probability and Statistics Pub Date : 2019-03-03 DOI: 10.1155/2019/7173416

A. Wong, L. Jiang

引用次数: 4

A Comparison of Mean-Based and Quantile Regression Methods for Analyzing Self-Report Dietary Intake Data 基于均值回归和分位数回归分析自述饮食摄入数据的比较

IF 1.1

Journal of Probability and Statistics Pub Date : 2019-03-03 DOI: 10.1155/2019/9750538

Michelle L Vidoni, B. Reininger, Minjae Lee

{"title":"A Comparison of Mean-Based and Quantile Regression Methods for Analyzing Self-Report Dietary Intake Data","authors":"Michelle L Vidoni, B. Reininger, Minjae Lee","doi":"10.1155/2019/9750538","DOIUrl":"https://doi.org/10.1155/2019/9750538","url":null,"abstract":"In mean-based approaches to dietary data analysis, it is possible for potentially important associations at the tails of the intake distribution, where inadequacy or excess is greatest, to be obscured due to unobserved heterogeneity. Participants in the upper or lower tails of dietary intake data will potentially have the greatest change in their behavior when presented with a health behavior intervention; thus, alternative statistical methods to modeling these relationships are needed to fully describe the impact of the intervention. Using data from Tu Salud ¡Si Cuenta! (Your Health Matters!) at Home Intervention, we aimed to compare traditional mean-based regression to quantile regression for describing the impact of a health behavior intervention on healthy and unhealthy eating indices. The mean-based regression model identified no differences in dietary intake between intervention and standard care groups. In contrast, the quantile regression indicated a nonconstant relationship between the unhealthy eating index and study groups at the upper tail of the unhealthy eating index distribution. The traditional mean-based linear regression was unable to fully describe the intervention effect on healthy and unhealthy eating, resulting in a limited understanding of the association.","PeriodicalId":44760,"journal":{"name":"Journal of Probability and Statistics","volume":" ","pages":""},"PeriodicalIF":1.1,"publicationDate":"2019-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1155/2019/9750538","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44644470","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: 2