We consider statistical inference for additive partial linear models when the linear covariate is measured with error. We propose attenuation-to-correction and simulation-extrapolation, simex, estimators of the parameter of interest. It is shown that the first resulting estimator is...

To make inference on in a linear regression model with missing responses, Wang and Rao [Wang, Q., Rao, J.N.K., 2001. Empirical likelihood for linear regression models under imputation for missing responses. Canad. J. Statist. 29, 597-608.] constructed an empirical likelihood (EL) statistic based...

Item nonresponse occurs frequently in sample surveys and other applications. Imputation is commonly used to fill in the missing item values in a random sample {Yi;i=1,...,n}. Fractional linear regression imputation, based on the model with independent zero mean errors [epsilon]i, is used to...

In this paper, we discuss the construction of the confidence intervals for the regression vector [beta] in a linear model under negatively associated errors. It is shown that the blockwise empirical likelihood (EL) ratio statistic for [beta] is asymptotically [chi]2-type distributed. The result...

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...

We explore the use of estimating equations for efficient statistical inference in case of missing data. We propose a semiparametric efficient empirical likelihood approach, and show that the empirical likelihood ratio statistic and its profile counterpart asymptotically follow central chi-square...