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  Published Paper Details:

  Paper Title

GENERAL EXPONENTIAL RATIO TYPE ESTIMATOR OF POPULATION MEAN UNDER SIMPLE RANDOM SAMPLING SCHEME

  Authors

  PRIYANKA BHARTI,  GAGAN KUMAR,  SURENDRA KUMAR,  S. K. YADAV

  Keywords

Study variable, auxiliary variable, exponential ratio estimators, bias, mean squared error, efficiency

  Abstract


In present paper we propose a general exponential ratio type estimator for estimating population mean of study variable. An estimator utilizing information on population median of study variable has been developed for improved estimation of population mean. The expressions for the bias and mean squared error have been derive up to approximation of degree one. The proposed estimator is theoretically compared with other competing estimators of population mean. Theoretical developments have been judged through the numerical study. It has been shown through the numerical study that proposed estimator performs better than other competing estimators which make use of auxiliary information collected on additional cost of the survey.

  IJCRT's Publication Details

  Unique Identification Number - IJPUB1801073

  Paper ID - 171457

  Page Number(s) - 450 - 455

  Pubished in - Volume 6 | Issue 1 | January 2018

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  PRIYANKA BHARTI,  GAGAN KUMAR,  SURENDRA KUMAR,  S. K. YADAV,   "GENERAL EXPONENTIAL RATIO TYPE ESTIMATOR OF POPULATION MEAN UNDER SIMPLE RANDOM SAMPLING SCHEME", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.6, Issue 1, pp.450 - 455, January 2018, Available at :http://www.ijcrt.org/papers/IJPUB1801073.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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