Eda Gizem Koçyiğit,Khalid Ul Islam Rather
Eda Gizem Koçyiğit
In this study, a new sub-regression type estimator for ranked set sampling (RSS) is proposed based on the idea of a sub-ratio estimator given in Koçyiğit and Kadılar (Commun Stat Theory Methods 1-23, 2022). The proposed unbiased estimato...
Bayesian Analysis of First-Order Markov Models for Autocorrelated Binary Responses [0.03%]
用于自相关二元反应的第一阶马尔科夫模型的贝叶斯分析
Dasom Lee,Sujit Ghosh
Dasom Lee
In many clinical trials, patient outcomes are often binary-valued which are measured asynchronously over time across various dose levels. To account for autocorrelation among such longitudinally observed outcomes, a first-order Markov model...
On Fixed Accuracy Confidence Interval in Multivariate Normal Distribution with Order 1 Autoregressive Covariance Structure [0.03%]
多元正态分布中具有一阶自回归协方差结构的固定精度置信区间问题
Pritam Sarkar,Uttam Bandyopadhyay,Rahul Bhattacharya
Pritam Sarkar
In this paper, stein-type two-stage sampling procedure is carried out for fixed accuracy confidence interval estimation of the common variance ( σ 2 ) parameter corresponding to multivariate normal distribution with autoregressive cov...
Abhik Ghosh,María Jaenada,Leandro Pardo
Abhik Ghosh
Coronavirus disease 2019 (COVID19) has triggered a global pandemic affecting millions of people. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causing the COVID-19 disease is hypothesized to gain entry into humans via the air...
H Papageorgiou,Maria Vardaki
H Papageorgiou
Two families of bivariate discrete Poisson-Lindley distributions are introduced. The first is derived by mixing the common parameter in a bivariate Poisson distribution by different models of univariate continuous Lindley distributions. The...
How do mobility restrictions and social distancing during COVID-19 affect oil price? [0.03%]
COVID-19期间出行限制和社交距离如何影响油价？
Asim K Dey,Kumer P Das
Asim K Dey
This paper provides an analysis of the effect of the COVID-19 outbreak on the crude oil price. Using a newly developed air mobility index and Apple's driving trends index, we assess the effect of human mobility restrictions and social dista...
Benjamin Kedem,Saumyadipta Pyne
Benjamin Kedem
Synthetic data, when properly used, can enhance patterns in real data and thus provide insights into different problems. Here, the estimation of tail probabilities of rare events from a moderately large number of observations is considered....
An Easy-to-Implement Hierarchical Standardization for Variable Selection under Strong Heredity Constraint [0.03%]
易于实现的分层标准化在强继承约束下进行变量选择
Kedong Chen,William Li,Sijian Wang
Kedong Chen
For many practical problems, the regression models follow the strong heredity property (also known as the marginality), which means they include parent main effects when a second-order effect is present. Existing methods rely mostly on spec...
Assessing covariate effects using Jeffreys-type prior in the Cox model in the presence of a monotone partial likelihood [0.03%]
Cox模型中使用Jeffreys型先验评估协变量效应的身影部分似然存在的情况下
Jing Wu,Mário de Castro,Elizabeth D Schifano et al.
Jing Wu et al.
In medical studies, the monotone partial likelihood is frequently encountered in the analysis of time-to-event data using the Cox model. For example, with a binary covariate, the subjects can be classified into two groups. If the event of i...
Martin Happ,Solomon W Harrar,Arne C Bathke
Martin Happ
Recently, new tests for main and simple treatment effects, time effects, and treatment by time interactions in possibly high-dimensional multigroup repeated-measures designs with unequal covariance matrices have been proposed. Technical det...