The scale factor refers to an unknown size variable which affects some or all observed variables in a multiplicative fashion. The scale effect studied by several researchers in market-based regression analyses is defined here as the intriguing combination of coefficient bias and...

Woodruff (1952) proposed a simple confidence interval for quantiles in complex surveys based upon inverting the usual confidence intervals for the distribution function. In the moderate to extreme tail regions of the distribution function the usual confidence interval performs poorly for...

A weighted empirical likelihood approach is proposed to take account of the heteroscedastic structure of the data. The resulting weighted empirical likelihood ratio statistic is shown to have a limiting chisquare distribution. A limited simulation study shows that the associated confidence...

Misclassification is a longstanding concern in medical research. Although there has been much research concerning error-prone covariates, relatively little work has been directed to problems with response variables subject to error. In this paper we focus on misclassification in clustered or...

Gini coefficient is among the most popular and widely used measures of income inequality in economic studies, with various extensions and applications in finance and other related areas. This paper studies confidence intervals on the Gini coefficient for simple random samples, using normal...

Pseudo empirical likelihood ratio confidence intervals for finite population parameters are based on asymptotic [chi]2 approximation to an adjusted pseudo empirical likelihood ratio statistic, with the adjustment factor related to the design effect. The calculation of the design effect involves...

Bayesian methods for inference on finite population means and other parameters by using sample survey data face hurdles in all three phases of the inferential procedure: the formulation of a likelihood function, the choice of a prior distribution and the validity of posterior inferences under...

We show that the model-calibration estimator for the finite population mean, which was proposed by Wu & Sitter (2001) through an intuitive argument, is optimal among a class of calibration estimators. We also present optimal calibration estimators for the finite population distribution function,...