A new efficient class of estimators of finite population mean in simple random sampling

Pal, Surya K.; Singh, Housila P.; Solanki, Ramkrishna S.

doi:10.1007/s13370-019-00745-5

Cited by 4 publications

(1 citation statement)

References 22 publications

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“…Srivenkataramana (1980) and Bandyopadhyay (1980) have advocated the use of product method of estimation in case of positive correlation using simple transformation which induce the negative correlation even if the correlation between the two variables   x y, is positive. Later many other authors have worked on the ratio and product methods of estimations such as Kadilar and Cingi (2004), Grover and Kaur (2011), Singh et al (2015), Singh and Yadav (2018), Pal et al (2018Pal et al ( , 2019…”

Section: Introductionmentioning

confidence: 99%

A General Class of Dual to Ratio Estimator

Singh

Nigam²

2020

Pak.j.stat.oper.res.

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In this paper we have considered the problem of estimating the population mean using auxiliary information in sample surveys. A class of dual to ratio estimators has been defined. Exact expressions for bias and mean squared error of the suggested class of dual to ratio estimator have been obtained. In particular, properties of some members of the proposed class of dual to ratio estimators have been discussed. It has been shown that the proposed class of estimators is more efficient than the sample mean, ratio estimator, dual to ratio estimator and some members of the suggested class of estimators in some realistic conditions. Some numerical illustrations are given in support of the present study.

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