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作者:J. Subramani , G. Kumarapandiyan
来源:[J].Journal of Statistical Theory and Applications (JSTA), 2014, Vol.13 (4)DOAJ
摘要:The present paper deals with the two modified ratio estimators for estimation of population mean of the study variable using the linear combination of the known population values of the Correlation Coefficient and the Median of the auxiliary variable. The biases and the mean squa...
作者:J. Subramani , G. Kumarapandiyan
来源:[J].Journal of Applied Mathematics, Statistics and Informatics, 2015, Vol.11 (1), pp.91-114De Gruyter
摘要:Abstract In this paper we have proposed a class of modified ratio type variance estimators for estimation of population variance of the study variable using the known parameters of the auxiliary variable. The bias and mean squared error of the proposed estimators are obtained and...
作者:J. Subramani , G. Kumarapandiyan
来源:[J].Journal of Statistical Theory and Applications, 2014, Vol.13 (4)Atlantis出版社
摘要:The present paper deals with the two modified ratio estimators for estimation of population mean of the study variable using the linear combination of the known population values of the Correlation Coefficient and the Median of the auxiliary variable. The biases and the mean squa...
作者:J. Subramani , G. Kumarapandiyan
来源:[J].International Journal of Information and Management Sciences, 2013, (24:3), pp.213-224Airiti
摘要:In this paper we have proposed a class of modified ratio estimators for estimation of population mean of the study variable using the linear combination of the Coefficient of Variation and First quartile, Third quartile, Inter-quartile range, Semi-quartile range, Semi-quartile av...

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