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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2020)
[Effective from January 1, 2020]
For more details click here

ICV 2018: 95.39
Index Copernicus ICI Journals Master List 2018 - IJCMAS--ICV 2018: 95.39
For more details click here

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PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : editorijcmas@gmail.com / submit@ijcmas.com
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2018.7(1): 1808-1815
DOI: https://doi.org/10.20546/ijcmas.2018.701.219


Calibration Approach Based Estimators of Finite Population Mean in Two - Stage Stratified Random Sampling
Sandeep Kumar*
Department of Agricultural Statistics, Narendra Deva University of Agriculture and Technology, Kumarganj, Faizabad-224229 (UP), India
*Corresponding author
Abstract:

Deville and Sarndal (1992) developed calibration estimator by using the auxiliary information to obtain a better estimate of the population total of study variate and auxiliary variable . While calibration approach does not assume any explicit relationship between and but it assume only that , the population total of is known following Deville and Sarndal (1992) calibration approach, calibration estimators of finite population mean in two-stage stratified random sampling have been developed. The variances and unbiased estimator of their variances have been derived. In the present paper, an attempt has been made to conduct a limited simulation study to examine the relative performance of calibration approach based estimators. The real data has been taken from Appendix-C of Sarndal et al., (2003). The study variate y and the auxiliary variate x are the population of the Sweden in year 1985 and year 1975 which is divided in 284 municipalities (MU284). The results have been found that the calibration estimators have outperformed the usual estimator of finite population mean in two-stage stratified random sampling.


Keywords: Finite population, Auxiliary information, Two-stage stratified random sampling, Calibration estimators, Population mean
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How to cite this article:

Sandeep Kumar. 2018. Calibration Approach Based Estimators of Finite Population Mean in Two - Stage Stratified Random Sampling.Int.J.Curr.Microbiol.App.Sci. 7(1): 1808-1815. doi: https://doi.org/10.20546/ijcmas.2018.701.219