Two new nonparametric kernel distribution estimators based on a transformation of the data [0.03%]
基于数据转换的两个新的非参数核分布估计器
Yousri Slaoui
Yousri Slaoui
In this paper, we propose two kernel distribution estimators based on a data transformation. We study the properties of these estimators and we compare them with two conventional estimators. It appears that with an appropriate choice of the...
Modified maximum likelihood estimator under the Jones and Faddy's skew t-error distribution for censored regression model [0.03%]
Jones和Faddy的t偏分布下修正的最大期望估计在删失回归模型中的应用
Sukru Acitas,Ismail Yenilmez,Birdal Senoglu et al.
Sukru Acitas et al.
It is well-known that classical Tobit estimator of the parameters of the censored regression (CR) model is inefficient in case of non-normal error terms. In this paper, we propose to use the modified maximum likelihood (MML) estimator under...
Monitoring coefficient of variation using one-sided run rules control charts in the presence of measurement errors [0.03%]
测量误差存在下基于单边连续控制图的变异系数监控
Phuong Hanh Tran,Cédric Heuchenne,Huu Du Nguyen et al.
Phuong Hanh Tran et al.
We investigate, in this paper, the effect of the measurement error (ME) on the performance of Run Rules control charts monitoring the coefficient of variation (CV) squared. The previous Run Rules CV chart in the literature is improved sligh...
An optimal control chart for finite matrix sequences at some unknown change point [0.03%]
未知变化点下的有限矩阵序列的最优控制图
Yunfei Ye,Dong Han
Yunfei Ye
We present a new measure for evaluating the performance of control charts to detect abrupt changes of finite matrix sequences. The objective is to minimize the probability that the control chart fails to raise the alarm at unknown change po...
Optimal allocation of subjects in a matched pair cluster-randomized trial with fixed number of heterogeneous clusters [0.03%]
固定数量且异质性的群组的匹配成对分组随机试验中的最优受试者分配方法
Satya Prakash Singh,Pradeep Yadav
Satya Prakash Singh
In cluster-randomized trials, investigators randomize clusters of individuals such as households, medical practices, schools or classrooms despite the unit of interest are the individuals. It results in the loss of efficiency in terms of th...
An elastic net penalized small area model combining unit- and area-level data for regional hypertension prevalence estimation [0.03%]
结合单元和区域水平数据的弹性网惩罚小域模型在高血压患病率估计中的应用
J P Burgard,J Krause,R Münnich
J P Burgard
Hypertension is a highly prevalent cardiovascular disease. It marks a considerable cost factor to many national health systems. Despite its prevalence, regional disease distributions are often unknown and must be estimated from survey data....
Variable selection and importance in presence of high collinearity: an application to the prediction of lean body mass from multi-frequency bioelectrical impedance [0.03%]
高共线性下的变量选择与重要性评估：一种预测去脂体重的应用方法
Camillo Cammarota,Alessandro Pinto
Camillo Cammarota
In prediction problems both response and covariates may have high correlation with a second group of influential regressors, that can be considered as background variables. An important challenge is to perform variable selection and importa...
Exploratory data structure comparisons: three new visual tools based on principal component analysis [0.03%]
基于主成分分析的三种新的数据结构比较探索式可视化工具
Anne Helby Petersen,Bo Markussen,Karl Bang Christensen
Anne Helby Petersen
Datasets are sometimes divided into distinct subsets, e.g. due to multi-center sampling, or to variations in instruments, questionnaire item ordering or mode of administration, and the data analyst then needs to assess whether a joint analy...
Discovering associations between players' performance indicators and matches' results in the European Soccer Leagues [0.03%]
发现欧洲足球联赛中球员表现指标与比赛结果之间的关联性
Maurizio Carpita,Silvia Golia
Maurizio Carpita
The application of data mining techniques and statistical analysis to the sports field has received increasing attention in the last decade. One of the most famous sports in the world is soccer, and the present work deals with it, using dat...
Simultaneous statistical modelling of excess zeros, over/underdispersion, and multimodality with applications in hotel industry [0.03%]
同时统计过零点、过度离散和多模态的模型及在酒店行业的应用
Kai-Sheng Song
Kai-Sheng Song
We propose zero-inflated statistical models based on the generalized Hermite distribution for simultaneously modelling of excess zeros, over/underdispersion, and multimodality. These new models are parsimonious yet remarkably flexible allow...