A Class of Estimators for Finite Population Mean in Double Sampling under Nonresponse Using Fractional Raw Moments

Khan, Mazhar; Shabbir, Javid; Hussain, Zawar; Al-Zahrani, Bander

doi:10.1155/2014/282065

Cited by 5 publications

(3 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Using this concept of handling non-response, many authors have proposed estimators for a variety of cases over decades. Some of them are Cochran (1977), Rao (1986), Okafor and Lee (2000), Kreuter et al (2010), Khan et al (2014), Luengo (2016), Khare and Sinha (2019), Sharma and Kumar (2020), Pandey et al (2021), Sinha et al (2022).…”

Section: Introductionmentioning

confidence: 99%

Untitled

2023

SiTns

View full text Add to dashboard Cite

Statistics in Transition new series (SiTns) is an international journal published jointly by the Polish Statistical Association (PTS) and Statistics Poland, on a quarterly basis (during 1993-2006 it was issued twice and since 2006 three times a year). Also, it has extended its scope of interest beyond its originally primary focus on statistical issues pertinent to transition from centrally planned to a market-oriented economy through embracing questions related to systemic transformations of and within the national statistical systems, world-wide.The SiTns seeks contributors that address the full range of problems involved in data production, data dissemination and utilization, providing international community of statisticians and users -including researchers, teachers, policy makers and the general public -with a platform for exchange of ideas and for sharing best practices in all areas of the development of statistics.Accordingly, articles dealing with any topics of statistics and its advancement -as either a scientific domain (new research and data analysis methods) or as a domain of informational infrastructure of the economy, society and the state -are appropriate for Statistics in Transition new series.Demonstration of the role played by statistical research and data in economic growth and social progress (both locally and globally), including better-informed decisions and greater participation of citizens, are of particular interest.Each paper submitted by prospective authors are peer reviewed by internationally recognized experts, who are guided in their decisions about the publication by criteria of originality and overall quality, including its content and form, and of potential interest to readers (esp. professionals).

show abstract

Section: Introductionmentioning

confidence: 99%

Untitled

2023

SiTns

View full text Add to dashboard Cite

show abstract

Section: Introductionmentioning

confidence: 99%

Efficient estimation of population mean in the presence of non-response and measurement error

Tiwari¹,

Sharma²

2023

SiTns

View full text Add to dashboard Cite

In real-world surveys, non-response and measurement errors are common, therefore studying them together seems rational. Some population mean estimators are modified and studied in the presence of non-response and measurement errors. Bias and mean squared error expressions are derived under different cases. For all estimators, a theoretical comparison is made with the sample mean per unit estimator. The Monte-Carlo simulation is used to present a detailed picture of all estimators’ performance.

show abstract

“…The ratio, product, exponential-ratio and regression type estimators are commonly in this context. Some notable work is due to Gupta and Shabbir [2], Khan and Shabbir [3], Verma et al [4], Bhushan and Kumar [5], Kumar et al [6], Kumar and Bhoughal [7], Saleem et al [8],…”

Section: Introductionmentioning

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

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

A Class of Estimators for Finite Population Mean in Double Sampling under Nonresponse Using Fractional Raw Moments

Cited by 5 publications

References 10 publications

Untitled

Untitled

Efficient estimation of population mean in the presence of non-response and measurement error

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

Contact Info

Product

Resources

About