A note on the use of multiple auxiliary variables in sample surveys

Swain, Anil Kumar

doi:10.1007/bf03028512

Cited by 2 publications

(2 citation statements)

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“…To examine the merits of the proposed estimator, we have considered five natural population data sets. Population IV-Source: Srivastava et al [18] Y : The measurement of weight of children X : Mid arm circumference of children Z : Skull circumference of children. sample mean per unit estimator y with respect to usual unbiased estimator y .…”

Section: Empirical Studymentioning

confidence: 99%

“…This technique is known as double or two phase sampling and was first introduced by Neyman [ This technique is known as chaining. The chain regression estimator was first introduced by Swain [18].Chand [4], Sukhatme and Chand [16], Kiregyera [9] proposed some chain ratio type estimators based on two auxiliary variates. Srivastava and Jhajj [14], Al-Jararha and Ahmed [1], Pradhan [11], Amin and Hanif [2], Singh and Choudhury [12], Kalita et.…”

Section: Introductionmentioning

confidence: 99%

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An Efficient Class of Exponential Chain Ratio Type Estimator for Finite Population Mean in Double Sampling

Kalita¹

2015

SJAMS

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This paper presents a class of exponential chain ratio type estimator in double sampling for estimating finite population mean of the study variable, when the information on another additional auxiliary variable is known along with the main auxiliary variable. The property of proposed class of estimator has been studied. Comparison has been made with other competitive estimators. The proposed estimator is found to be more efficient both theoretically and empirically.

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Section: Empirical Studymentioning

confidence: 99%