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pro vyhledávání: '"Sharma, Prayas"'
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In Heliyon 30 December 2024 10(24)
Akademický článek
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Autor:
Singh, Ashish Kumar, Sharma, Prayas
Publikováno v:
Journal of Modelling in Management, 2022, Vol. 18, Issue 4, pp. 1177-1203.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JM2-02-2022-0059
In this article, we have proposed a generalized class of estimators, exponential class of estimators based on adaption of Sharma and Singh (2015) and Solanki and Singh (2013) and simple difference estimator for estimating unknown population mean in c
Externí odkaz:
http://arxiv.org/abs/1502.02343
Publikováno v:
International Journal of Systems Assurance Engineering & Management; Jul2024, Vol. 15 Issue 7, p3522-3537, 16p
Autor:
Singh, Rajesh, Sharma, Prayas
Publikováno v:
Elixir Statistics (2014), 73, 26448-26452
Auxiliary variable is extensively used in survey sampling to improve the precision of estimates. Whenever there is availability of auxiliary information, we want to utilize it in the method of estimation to obtain the most efficient estimator. In thi
Externí odkaz:
http://arxiv.org/abs/1410.3245
This paper suggests a generalized class of estimators for population mean of the qualitative study variable in simple random sampling using information on an auxiliary variable. Asymptotic expressions of bias and mean square error of the proposed cla
Externí odkaz:
http://arxiv.org/abs/1409.5085
Improved estimator of finite population mean using auxiliary attribute in stratified random sampling
Publikováno v:
Journal of Scientific Research, BHU (2014), 58: 99-105
The present study discuss the problem of estimating the finite population mean using auxiliary attribute in stratified random sampling. In this paper taking the advantage of point bi-serial correlation between the study variable and auxiliary attribu
Externí odkaz:
http://arxiv.org/abs/1407.1831
Singh et al (20009) introduced a family of exponential ratio and product type estimators in stratified random sampling. Under stratified random sampling without replacement scheme, the expressions of bias and mean square error (MSE) of Singh et al (2
Externí odkaz:
http://arxiv.org/abs/1404.2608
Autor:
Sharma, Prayas, Singh, Rajesh
The present paper discusses the problem of estimating the finite population mean of study variable in simple random sampling in the presence of non response and response error together. The estimators in this article use auxiliary information to impr
Externí odkaz:
http://arxiv.org/abs/1404.1709