A new stratified three-stage unrelated randomized response model for estimating a rare sensitive attribute based on the Poisson distribution

Lee, Gi-Sung; Hong, Kihak; Chang-Kyoon, Son

doi:10.1080/03610926.2018.1438625

Cited by 4 publications

(2 citation statements)

References 9 publications

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“…Greenberg et al [2] extended the Warner's idea for mean estimation of quantitative sensitive variables. Some other developments for the estimation of mean are due to Eichhorn and Hayre [3]; Bar-Lev et al [4]; Gupta et al [5]; Gupta et al [6] Hussain et al [7]; Singh et al [8]; Singh and Suman [9]; Lee and Hong [10]; Narjis and Shabbir [11,12]; and Muneer et al [13].…”

Section: Introductionmentioning

confidence: 99%

Partial Randomized Response Model for Simultaneous Estimation of Means of Two Sensitive Variables

Narjis

Shabbir

Onyango

2022

Mathematical Problems in Engineering

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In this study, a new partial randomized response model (RRM) has been proposed for estimating the population mean of two quantitative sensitive variables simultaneously. The utility of proposed model under stratification is also explored. The efficiency comparisons of the proposed model under simple and stratified random sampling are carried out numerically. A real data set was collected through direct questioning, proposed partial RRM and competitor randomized device from the students of statistics and animal sciences departments of Quaid-I-Azam University Islamabad, Pakistan. The performance of the proposed partial RRM is better than competitor RRM under simple and stratified random sampling.

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Section: Introductionmentioning

confidence: 99%

Partial Randomized Response Model for Simultaneous Estimation of Means of Two Sensitive Variables

Narjis

Shabbir

Onyango

2022

Mathematical Problems in Engineering

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“…To enhance the confidence of the respondents [2] proposed unrelated question model or U model. Some noteworthy contributions related to randomized response technique and their importance have been carried out by researchers such as [3][4][5][6][7][8][9][10][11][12][13][14][15] and among others.…”

Section: Introductionmentioning

confidence: 99%

Estimation of Rare Sensitive Parameter Under Poisson Approximation Using Stratified Three Stage Randomized Response Model

Rather

Tarray

2022

J. Sci. Arts

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This study investigates the process for estimating the mean number of individuals having rare sensitive attribute in stratified random sampling for known population using Poisson distribution. The properties of the suggested estimation procedures are deeply examined. Empirical studies are performed to support the theoretical results, which show the dominance of the proposed estimators over well-known existing estimators. The results are interpreted and suitable recommendations have been put forward to the survey practitioners.

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Effects of primary school principal support and teaching characteristics on students’ music academic achievement using a hierarchical linear model

Guo,

Chen,

Fung

et al. 2023

Curr Psychol

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A new stratified three-stage unrelated randomized response model for estimating a rare sensitive attribute based on the Poisson distribution

Cited by 4 publications

References 9 publications

Partial Randomized Response Model for Simultaneous Estimation of Means of Two Sensitive Variables

Partial Randomized Response Model for Simultaneous Estimation of Means of Two Sensitive Variables

Estimation of Rare Sensitive Parameter Under Poisson Approximation Using Stratified Three Stage Randomized Response Model

Effects of primary school principal support and teaching characteristics on students’ music academic achievement using a hierarchical linear model

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