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Author
Yadav Rohini (Indian School of Mines, Dhanbad, Jharkhand, India), Upadhyaya Lakshmi N. (Indian School of Mines, Dhanbad, Jharkhand, India), Singh Housila P. (Vikram University, Ujjain, India), Chatterjee S. (Indian School of Mines, Dhanbad, Jharkhand, India)
Title
Improved Separate Ratio Exponential Estimator for Population Mean Using Auxiliary Information
Source
Statistics in Transition, 2011, vol. 12, nr 2, s. 401-412, tab., bibliogr. 6 poz.
Keyword
Estymatory, Dobór próby badawczej, Statystyka
Estimators, Selection of test methods, Statistics
Note
The authors acknowledge the University Grants Commission, New Delhi, India for financial support in the project number F. No. 34-137/2008(SR).
summ.
Abstract
This paper advocates the improved separate ratio exponential estimator for population mean Y of the study variable y using the information based on auxiliary variable x in stratified random sampling. The bias and mean squared error (MSE) of the suggested estimator have been obtained up to the first degree of approximation. The theoretical and numerical comparisons are carried out to show the efficiency of the suggested estimator over sample mean estimator, usual separate ratio and separate product estimator. (original abstract)
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Bibliography
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  2. KADILAR, C. and CINGI, H. (2005): A new estimator in stratified random sampling, Commun. in Statist.: Theory and Meth., 34, 597-602.
  3. KOYUNCU, N. and KADILAR, C. (2010): On the family of estimators of population mean in stratified random sampling, Pak. J. Statist., vol. 26(2), 427-443.
  4. SINGH, H.P. and VISHWAKARMA, G.K. (2006): An efficient variant of the product and ratio estimators in stratified random sampling, Statistics in Transition, 7(6), 1311-1325.
  5. SINGH, H.P. and VISHWAKARMA, G.K. (2010): A general procedure for estimating the population mean in stratified sampling using auxiliary information. Metron, vol. LXVIII, n.1, pp 47-65.
  6. UPADHYAYA, L.N., SINGH, H.P., CHATTERJEE, S. and YADAV, R. (2011): Improved ratio and product exponential type estimators. Journal of Statistical Theory and Practice, vol. 5, no. 2, pp. 285-302.
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ISSN
1234-7655
Language
eng
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