In this paper we study the Buckley-James estimator of accelerated failure time models with auxiliary covariates. Instead of postulating distributional assumptions on the auxiliary covariates, we use a local polynomial approximation method to accommodate them into the Buckley-James estimating equations. The regression parameters are obtained iteratively by minimizing a consecutive distance of th...

In sampling theory, a wide variety of techniques is used to obtain efficient estimators for the population mean. The commonly used method to obtain the estimator for population mean is simple random sampling without replacement (SRSWOR) when there is no auxiliary variable available. There are methods that use the auxiliary information of the study characteristics. If there exists an auxiliary v...

In this paper, we develop a pseudo empirical likelihood approach to incorporating auxiliary information into estimates from complex surveys. In simple random sampling without replacement, the method reduces to the empirical likelihood approach of Chen and Qin (1993). We show that the method is asymptotically equivalent to a generalized regression estimator in the case of estimating a mean or po...

In sample surveys, it is usual to make use of auxiliary information to increase the precision of estimators. We propose a new exponential ratio-type estimator of a finite population mean using linear combination of two auxiliary variables and obtain mean square error (MSE) equation for proposed estimator. We find theoretical conditions that make proposed estimator more efficient than traditiona...

In fiber-optic communications, evaluation of mutual information (MI) is still an open issue due to the unavailability of an exact and mathematically tractable channel model. Traditionally, lower bounds on MI are computed by approximating the (original) channel with an auxiliary forward channel. In this paper, lower bounds are computed using an auxiliary backward channel, which has not been prev...

We propose a new spam detection algorithm that uses structural relationships between senders and recipients of email as the basis for spam detection. A unifying representation of users and receivers in the vectorial space of their contacts is constructed, that leads to a natural definition of similarity between them. This similarity is then used to group email senders and recipients into cluste...

An AUX information assisted HEVC is described in this paper. This new functionality provides a tool for HEVC to determine the quantization parameter of CU based on auxiliary input. In this report, a saliency based auxiliary input is employed as a proof-of-concept. As shown in our subjective tests, the new tool achieves up to 12% bit rate reduction with negligible perceptual quality loss.