Improved estimation of finite population mean in two-phase sampling with subsampling of the nonrespondents

Guha, Saurav; Chandra, Hukum

doi:10.1080/08898480.2019.1694325

Cited by 9 publications

(4 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We proposed a general class of DF estimators 12 * ( , ) F  using two auxiliary variables under nonresponse in simple random sampling. It is clear from Tables 7-9 ˆD F ), Chami [26] estimator ( * ˆCh F ) and Singh and Usman [27] (2) 2 () (2) 2 () (2) 2 ()…”

Section: Discussionmentioning

confidence: 90%

See 1 more Smart Citation

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

Shabbir

Gupta

2021

Scientia Iranica

View full text Add to dashboard Cite

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.

show abstract

Section: Discussionmentioning

confidence: 90%

“…(xi) On the lines of Chami et al [25], Guha and Chandra [26] and Singh and Usman [27] estimators using two auxiliary variables, we have…”

Section: Existing Estimatorsmentioning

confidence: 99%

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

Shabbir

Gupta

2021

Scientia Iranica

View full text Add to dashboard Cite

show abstract

“…Guha and Chandra [22] proposed an improved chain-ratio estimator for the population total based on double sampling. Guha and Chandra [23] provided improved estimators for the population mean using two auxiliary variables comprise non-response in on two-phase sampling.…”

Section: Introductionmentioning

confidence: 99%

A simulation study: Robust ratio double sampling estimator of finite population mean in the presence of outliers

Zaman

Bulut

2021

Scientia Iranica

View full text Add to dashboard Cite

In this study, we suggest a family of ratio estimators for the population mean parameter using various robust regression techniques. These robust regressions techniques are Huber MM, LTS, and LMS estimates. We evaluate the performance of estimators in terms of the mean square error (MSE), and we compare the efficiency of our proposed robust-regression-ratio-type estimators with existing estimators under the optimal conditions. These comparisons show that our robust ratio-type estimators give more efficient results than the existing estimators under double sampling. In addition, the simulation and the empirical studies based on a data set that includes unusual observations show that our proposed estimators have a lower MSE than the existing estimators.

show abstract

“…They evoke a procedure of taking sub-sample of nonrespondents after the mail attempt and then obtain information from the sub-sample by personal interview. Further, the technique was studied by Cochran (1977), Kumar and Bhougal (2011), Guha and Chandra (2019) under two-phase sampling plan. Diana et al (2014) have designed the problem of non-response in case of sensitive variable.…”

Section: Introductionmentioning

confidence: 99%

Estimation of Sensitive Variable in Two-Phase Sampling under Measurement Error And Non-Response Using ORRT Models

Kumar¹,

Kour²

2021

Sri Lankan J App Stats

View full text Add to dashboard Cite

In human surveys, people are asked highly confidential questions concerning a sensitive variable. This article concentrate on the estimation of population mean of sensitive variable under two phase sampling using ORRT models. Also, the presence of non response and measurement errors is of concern while discussing the properties of the proposed estimators. The conditions under which the proposed estimator perform relatively better than the estimators based on recent studies are obtained. Simulation study also carried out in different situations over the data set of natural population and fictitious population to support the theoretical findings.

show abstract

Improved estimation of finite population mean in two-phase sampling with subsampling of the nonrespondents

Cited by 9 publications

References 9 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

A simulation study: Robust ratio double sampling estimator of finite population mean in the presence of outliers

Estimation of Sensitive Variable in Two-Phase Sampling under Measurement Error And Non-Response Using ORRT Models

Contact Info

Product

Resources

About