Skewing methods for variance-stabilizing local linear regression estimation

Stein Type Estimators for Disturbance Variance in Linear Regression Model

This article has no abstract.

Local Linear Smoothers in Regression Function Estimation

A method based on local linear approximation is used to estimate the mean regression function. The proposed local linear smoother has several advantages in comparison with other linear smoothers. Motivated by this fact, we follow this approach to estimate more general functions, among which, conditional median and conditional quantile functions. A further generalization involves the estimation ...

Variance Estimation for the General Regression Estimator

A variety of estimators of the variance of the general regression (GREG) estimator of a mean have been proposed in the sampling literature, mainly with the goal of estimating the design-based variance. Estimators can be easily constructed that, under certain conditions, are approximately unbiased for both the design-variance and the model-variance. Several dual-purpose estimators are studied he...

Skewing-methods for Two-parameter Locally-parametric Density Estimation

Estimation of Variance Components for Body Weight of Moghani Sheep Using B-Spline Random Regression Models

The aim of the present study was the estimation of (co) variance components and genetic parameters for body weight of Moghani sheep, using random regression models based on B-Splines functions. The data set included 9165 body weight records from 60 to 360 days of age from 2811 Moghani sheep, collected between 1994 to 2013 from Jafar-Abad Animal Research and Breeding Institute, Ardabil province,...