Estimation of Population Mean in the Presence of Non-Response and Measurement Error

Guardado en:
Bibliografiske detaljer
Udgivet i:Revista Colombiana de Estadistica vol. 38, no. 1 (2015), p. 145
Hovedforfatter: Kumar, Sunil
Andre forfattere: Bhogal, Sandeep, Nataraja, N S, Viswanathaiah, M
Udgivet:
Universidad Nacional de Colombia
Fag:
Online adgang:Citation/Abstract
Full Text - PDF
Tags: Tilføj Tag
Ingen Tags, Vær først til at tagge denne postø!

MARC

LEADER 00000nab a2200000uu 4500
001 1677200990
003 UK-CbPIL
022 |a 0120-1751 
022 |a 2389-8976 
035 |a 1677200990 
045 2 |b d20150101  |b d20150630 
084 |a 251630  |2 nlm 
100 1 |a Kumar, Sunil 
245 1 |a Estimation of Population Mean in the Presence of Non-Response and Measurement Error 
260 |b Universidad Nacional de Colombia  |c 2015 
513 |a Feature 
520 3 |a   Under classical survey sampling theory the errors mainly studied in the estimation are sampling errors. However, often non-sampling errors are more influential to the properties of the estimator than sampling errors. This is recognized by practitioners, researchers and many great works of literature regarding non-sampling errors have been published during last two decades, especially regarding non-response error which is one of the cornerstones of the non-sampling errors. The literature handles one kind of non-sampling error at a time, although in real surveys more than one non-sampling error is usually present.In this paper, two kinds of non-sampling errors are considered at the estimation stage: non-response and measurement error. An exponential ratio type estimator has been developed to estimate the population mean of the response variable in the presence of non-response and measurement errors. Theoretically and empirically, it has been shown that the proposed estimator is more efficient than usual unbiased estimator and other existing estimators. 
653 |a Estimating techniques 
653 |a Measurement errors 
653 |a Statistical analysis 
700 1 |a Bhogal, Sandeep 
700 1 |a Nataraja, N S 
700 1 |a Viswanathaiah, M 
773 0 |t Revista Colombiana de Estadistica  |g vol. 38, no. 1 (2015), p. 145 
786 0 |d ProQuest  |t Engineering Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/1677200990/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/1677200990/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch