Improved Regression-Cum-Ratio Estimators Using Information on Two Auxiliary Variables Dealing with Subsampling Technique of Non-Response

Singh, G. N.; Usman, M.

doi:10.1007/s42519-019-0082-3

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2021

2022

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Cited by 2 publications

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“…Population 1. Source: Singh [28] Let Y, X and Z be the number of immigrants admitted in the USA during 1996,1995 For non-response, we have:…”

Section: Numerical Studymentioning

confidence: 99%

On use of subsampling of the non-respondents for estimation of distribution function

Shabbir

Gupta

2021

Scientia Iranica

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In this study, we propose a general class of estimators of the finite population distribution function (DF) using two auxiliary variables under subsampling of non-respondents.We use the Hansen and Hurwitz pioneered model in our subsampling technique. Layout of response and non-response classes are discussed in various tables in detail. Expressions for the biases and mean square errors (MSEs) of the estimators are obtained up to first order of approximation. We also obtain the conditions by comparing the proposed estimator with existing estimators. Three real data sets are used to support the theoretical findings. In our findings, it is observed that the proposed class of estimators is more efficient as compared to all other existing estimators including the usual mean estimator, ratio estimator, exponential-ratio estimator, traditional difference estimator, and many well-known difference type estimators by using the criterion of MSE.

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“…Population 1. Source: Singh [28] Let Y, X and Z be the number of immigrants admitted in the USA during 1996,1995 For non-response, we have:…”

Section: Numerical Studymentioning

confidence: 99%

On use of subsampling of the non-respondents for estimation of distribution function

Shabbir

Gupta

2021

Scientia Iranica

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Some Optimal Estimators of Finite Population Variance Using Dual of Auxiliary Variable in the Presence of Random Non-Response

Singh

Usman²

2022

J Stat Theory Pract

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Improved Regression-Cum-Ratio Estimators Using Information on Two Auxiliary Variables Dealing with Subsampling Technique of Non-Response

Cited by 2 publications

References 22 publications

On use of subsampling of the non-respondents for estimation of distribution function

On use of subsampling of the non-respondents for estimation of distribution function

Some Optimal Estimators of Finite Population Variance Using Dual of Auxiliary Variable in the Presence of Random Non-Response

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