Mean estimation with generalized scrambling using two-phase sampling

Sanaullah, Aamir; Saleem, Iram; Gupta, Sat; Hanif, Muhammad

doi:10.1080/03610918.2020.1778032

Cited by 10 publications

(8 citation statements)

References 22 publications

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“…Motivated by recent work of Sanaullah et al (2020), we intend to modify their generalized randomised response model to be applicable for successive sampling under PORT. The model is modified as,…”

Section: Partial Optional Randomization Technique On Successive Movesmentioning

confidence: 99%

“…• PORT-I: Modified model (Sanaullah et al, 2020) The response obtained from the j th respondent on first and second move are respectively given as, z 1 j = y 1 j , with probability p, y 1 j S 1 j + aS 2 j , with probability (1 − p),…”

Section: Partial Optional Randomization Technique On Successive Movesmentioning

confidence: 99%

“…The ORT is more efficient than compulsory randomized response technique (CRT) because the probability of obtaining true responses in ORT is much higher than that in the CRT (Arnab, 2004). PORT was discussed by many authors such as Mangat and Singh(1994), Gupta et al (2002Gupta et al ( , 2013, Pal (2008), Chaudhuri and Dihidar (2009), and Sanaullah et al (2020).…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, in this paper an attempt has been made to estimate sensitive population mean at current move using PORT with calibration weighting to adjust unit non-response in two move successive sampling. A new model for PORT has been proposed and the existing model by Sanaullah et al (2020) have been modified to work as PORT model for successive sampling. The paper is structured as follows, in Section 2, the proposed PORT models on two successive moves have been presented along with the calibration estimators in presence of unit non-response at both the moves for the coded response variable at current move.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Partial optional randomized response technique with calibration weighting to adjust non-response in successive sampling

Kumari

Trisandhya

Kumar

2021

CSAM

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The present article endeavours to develop partial optional randomized -response technique (PORT) to deal with sensitive issues in presence of non-response in successive sampling. Calibration techniques have been embedded with PORT to estimate sensitive population mean at current move in two move successive sampling in presence of non-response. Optimum calibration weights are computed at each move with the aid of constraints based on auxiliary information. Detailed properties of the proposed estimators have been discussed. Possible cases in which non-response may creep at two moves has been explored. The proposed technique has been compared with the modified existing technique. Simulation results indicate that the proposed technique is more efficient than existing, modified one. Suitable recommendations are forwarded.

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Section: Partial Optional Randomization Technique On Successive Movesmentioning

confidence: 99%

Section: Partial Optional Randomization Technique On Successive Movesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Partial optional randomized response technique with calibration weighting to adjust non-response in successive sampling

Kumari

Trisandhya

Kumar

2021

CSAM

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“…Sousa et al [5]. Gupta et al [6], Koyuncu et al [7], Sanaullah et al [8], Saleem et al [9] and Sanaullah et al [10] presented mean estimators to estimate the population mean based on randomized response technique. Mushtaq et al [11] introduced ratio, regression and general class of estimators for the estimation of population mean using non-sensitive variable under stratified random sampling.…”

Section: Original Research Articlementioning

confidence: 99%

Development of Estimation Procedure of Population Variance in Stratified Randomized Response Technique

Mushtaq¹,

Saleem²

2020

AJPAS

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Singh et al. (2016) presented a ratio and regression estimators of population variance of a sensitive variable using auxiliary information based on randomized response technique (RRT). In this article, the RRT is considered in stratified random sampling for the estimation of variance. A generalized class of estimators of variance in stratified RRT is proposed and derive the procedure of variance estimation in stratified RRT. The expression of the bias and mean square error are expressed. The empirical findings support the soundness of proposed scheme of variance estimation.

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Generalized Double Sampling Family of Estimators for Population mean of Sensitive Variable Harnessing Non-sensitive Auxiliary Variable and Attribute

2023

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Mean estimation with generalized scrambling using two-phase sampling

Cited by 10 publications

References 22 publications

Partial optional randomized response technique with calibration weighting to adjust non-response in successive sampling

Partial optional randomized response technique with calibration weighting to adjust non-response in successive sampling

Development of Estimation Procedure of Population Variance in Stratified Randomized Response Technique

Generalized Double Sampling Family of Estimators for Population mean of Sensitive Variable Harnessing Non-sensitive Auxiliary Variable and Attribute

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