ARTICLE
TITLE

An Efficient General Family of Estimators for Population Mean in the Presence of Non-Response

SUMMARY

This paper presents a new general family of estimators to estimate the population mean of study variable y in the presence of non-response when utilizing a known coefficient of variation of study variable y. The expressions for bias, mean squared error (MSE), and minimum mean squared error (MMSE) of the proposed family of estimators are derived up to the first degree of approximation. In addition, a numerical example and a simulation study are presented to explain the performance of the proposed estimators. It was shown that the proposed estimators perform better compared to all other relevant estimators.

PAGES
pp. 283 - 293

 Articles related

Liqun Hou,Junteng Hao,Yongguang Ma,Neil Bergmann    

Machine fault diagnosis systems need to collect and transmit dynamic signals, like vibration and current, at high-speed. However, industrial wireless sensor networks (IWSNs) and Industrial Internet of Things (IIoT) are generally based on low-speed wirele... see more


Kaifeng Huang,Zegong Liu,Dan Huang    

To identify the hang, collision and drift faults of methane sensors, this paper presents a fault diagnosis method for methane sensors using multi-sensor information fusion. A methane concentration monitoring approximation model with multi-sensor informat... see more


Yalçin Öztürk,Mustafa Gülsu    

In this paper, we present efficient direct solver for solving the generalized pantographequations with variable coefficients. The approach is based on the second kind Chebyshev polynomialstogether with operational method. The main characteristic behind t... see more


Concepción Vidal,Felicidad Aguado,José Luis Doncel,Jose María Molinelli,Gilberto Perez    

In this article we present the implementation and formal verification, using the Coq system, of a generalized version of the crossover operator applied to genetic algorithms (GA). The first part of this work defines the multiple crossover of two lists in... see more


P. Kuklík,M. Kopácková    

This paper presents analytical approaches for evaluating the depth of the influence zone. The model focuses on variations in the ground water table. Referring to [6], the term influence zone is assigned to the region where the load has a substantial infl... see more