Abstract In this paper, we propose a bivariate Weibull regression models for survival time derived from the bivariate exponential distribution of Freund [Freund, Journal of the Amer. Statist. Assoc. 56: 971-77, 1961]. There are some biometrical applications which motivated to study these...

This paper introduces an alternating conditional expectation (ACE) algorithm: a non-parametric approach for estimating the transformations that lead to the maximal multiple correlation of a response and a set of independent variables in regression and correlation analysis. These transformations...

This study uses data from the December 2003 Food Security Supplement of the CPS to compare the food insufficiency and insecurity measures with objective measures of food expenditures and objective and subjective measures of food needs. The study examines the general relationships between these...

We introduce a new kernel smoother for nonparametric regression that uses prior information on regression shape in the form of a parametric model. In effect, we nonparametrically encompass the parametric model. We derive pointwise and uniform consistency and the asymptotic distribution of our...

Abstract In this paper, we propose a new bivariateWeibull distribution and derive estimation and test procedures based on censored samples with common covariates. The study of bivariate Weibull was motivated by interesting biometrical applications. The maximum likelihood estimators for the model...

Multi-city time series studies of particulate matter (PM) and mortality and morbidity have provided evidence that daily variation in air pollution levels is associated with daily variation in mortality counts. These findings served as key epidemiological evidence for the recent review of the...

This paper documents the magnitude of income mobility in Germany and its distribution across different income positions, using data from the German Socio-Economic Panel. The suggested graphical approach makes it straightforward to identify the portions of the distribution that have the largest...