On a generalization of the test of endogeneity in a two stage least squares estimation [0.03%]
两阶段最小二乘估计中内生性检验的推广研究
Ayyub Sheikhi,Fatemeh Bahador,Mohammad Arashi
Ayyub Sheikhi
In situations that the predictors are correlated with the error term, we propose a bridge estimator in the two-stage least squares estimation. We apply this estimator to overcome the multicollinearity and sparsity of the explanatory variabl...
Maria Anastasopoulou,Athanasios C Rakitzis
Maria Anastasopoulou
In this work, we develop and study upper and lower one-sided EWMA control charts for monitoring correlated counts with finite range. Often in practice, data of that kind can be adequately described by a first-order binomial or beta-binomial...
A Bayesian shared parameter model for joint modeling of longitudinal continuous and binary outcomes [0.03%]
一种贝叶斯共享参数模型用于连续和二元纵向数据的联合建模
T Baghfalaki,M Ganjali,A Kabir et al.
T Baghfalaki et al.
Joint modeling of associated mixed biomarkers in longitudinal studies leads to a better clinical decision by improving the efficiency of parameter estimates. In many clinical studies, the observed time for two biomarkers may not be equivale...
A statistical methodology to select covariates in high-dimensional data under dependence. Application to the classification of genetic profiles in oncology [0.03%]
一种用于在高度依赖性数据中选择协变量的统计方法。在肿瘤学遗传谱型分类中的应用
B Bastien,T Boukhobza,H Dumond et al.
B Bastien et al.
We propose a new methodology for selecting and ranking covariates associated with a variable of interest in a context of high-dimensional data under dependence but few observations. The methodology successively intertwines the clustering of...
The GLM framework of the Lee-Carter model: a multi-country study [0.03%]
基于Lee-Carter模型的广义线性模型框架：多国分析研究
Shafiqah Azman,Dharini Pathmanathan
Shafiqah Azman
The Lee-Carter model is a well-known model in modeling mortality. We aim to compare three probability models (Poisson, negative binomial and binomial) based on the Generalized Linear Model (GLM) framework of the Lee-Carter model. These mode...
Qingguo Tang,Rohana J Karunamuni,Boxiao Liu
Qingguo Tang
In this paper, we investigate robust parameter estimation and variable selection for binary regression models with grouped data. We investigate estimation procedures based on the minimum-distance approach. In particular, we employ minimum H...
A Baíllo,J E Chacón
A Baíllo
The home range of an animal describes the geographic area where this individual spends most of the time while doing its usual activities. From a statistical viewpoint, the problem of home range estimation can be considered as a set estimati...
A proportional-hazards model for survival analysis and long-term survivors modeling: application to amyotrophic lateral sclerosis data [0.03%]
生存分析及长期存活者模型的propotional-hazards模型——应用ALS数据进行演示
Tasnime Hamdeni,Soufiane Gasmi
Tasnime Hamdeni
The majority of survival data are affected by explanatory variables. We develop a new regression model for survival data analysis. As an alternative to standard mixture models, another model is proposed to describe the eventual presence of ...
A semi-analytical solution to the maximum-likelihood fit of Poisson data to a linear model using the Cash statistic [0.03%]
卡什统计量的泊松数据拟合直线模型的最大似然解的半解析解法
Massimiliano Bonamente,David Spence
Massimiliano Bonamente
The Cash statistic, also known as the C statistic, is commonly used for the analysis of low-count Poisson data, including data with null counts for certain values of the independent variable. The use of this statistic is especially attract...
A Clipped Gaussian Geo-Classification model for poverty mapping [0.03%]
用于贫困地图匹配的A Clipped Gaussian Geo-Classification模型
Richard Puurbalanta
Richard Puurbalanta
The importance of discrete spatial models cannot be overemphasized, especially when measuring living standards. The battery of measurements is generally categorical with nearer geo-referenced observations featuring stronger dependencies. Th...