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A Regression Type Estimator with Two Auxiliary Variables for Two-Phase Sampling
This paper is an extension of Hanif, Hamad and Shahbaz estimator [1] for two-phase sampling. The aim of this paper is to develop a regression type estimator with two auxiliary variables for
Generalized Exponential Type Estimator for Population Variance in Survey Sampling
En este articulo, de tipo exponencial generalizado ha sido propuesto con el fin de estimar la varianza poblacional a traves de una variables auxiliar en muestreo en dos fases. Algunos casos
On a New Family of Estimators using Multiple Auxiliary Attributes
A general family of estimators has been proposed and general expression of mean square error of these estimators has been derived by [1]. In this paper we have proposed a generalized family of
How Nearly Can Model-Based Prediction and Design-Based Estimation Be Reconciled?
Abstract Two general linear model-based predictors, one of the expectation of a finite population total and one of that total itself, are compared with the design-based generalized regression
Some New Regression Types Estimators in Two Phase Sampling
In this paper some new regression type estimators of population mean have been proposed for two phase sampling using information of two auxiliary variables. The estimators have been proposed for
Joint influence of measurement error and non response on estimation of population mean
ABSTACT In this paper, we propose a method to jointly incorporate measurement error and non response in the estimators of population mean using auxiliary information in simple random sampling. We
GENERALIZED MULTIVARIATE RATIO ESTIMATORS USING MULTI- AUXILIARY VARIABLES FOR MULTI-PHASE SAMPLING
In this paper we propose a number of generalized multivariate ratio estimators for two-phase and multi-phase sampling in the presence of multi-auxiliary variables for estimating population mean for a
On Some Refinements of Jensen's Inequality
This paper contains a link between Probability Proportional to Size (PPS) sampling and interpolations of the classical Jensen inequality. We show that these interpolating inequalities are, in fact,
Mixture Ratio and Regression Estimators using Multi-auxiliary Variables and Attributes in Single Phase Sampling
In this paper a class of mixture ratio and regression estimators for single phase sampling has been proposed for population mean by using information on auxiliary variables and attributes
GENERALIZED REGRESSION-CUM-RATIO ESTIMATORS FOR TWO-PHASE SAMPLING USING MULTI-AUXILIARY VARIABLES
In this paper we suggest three classes of regression-cum-ratio estimators for estimating population mean of variable of interest for two-phase sampling using multiauxiliary variables for full
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