Some estimation procedures of sensitive character using scrambled response techniques in successive sampling

Kumar

2021

CSAM

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.

Section: Introductionmentioning

confidence: 99%

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

Kumar

2021

CSAM

“…They applied RRT on successive occasions. Additional literature addressing sensitive issue over successive occasions can be seen in Yu et al (2015), Naeem and Shabbir (2016), Singh et al (2017), , and . These researchers focused on a scrambled response technique or RRT to handle sensitive issues on successive occasions.…”

Section: Introductionmentioning

confidence: 99%

Item sum techniques for quantitative sensitive estimation on successive occasions

2019

CSAM

The problem of the estimation of quantitative sensitive variable using the item sum technique (IST) on successive occasions has been discussed. IST difference, IST regression, and IST general class of estimators have been proposed to estimate quantitative sensitive variable at the current occasion in two occasion successive sampling. The proposed new estimators have been elaborated under Trappmann et al.

“…However, if the variable which opt to change by time is also sensitive in nature, then their arises a need to apply randomized/scrambled response techniques on successive waves. Arnab and Singh (2013), Yu et al (2015), Naeem and Shabbir (2016) and Singh et al (2017) have put their efforts to deal with sensitive issues on successive waves.…”

Section: Introductionmentioning

confidence: 99%

Modelling Sensitive Issues on Successive Waves

Statistics in Transition New Series

2019

This paper addresses the problem of estimation of population mean of sensitive character using non-sensitive auxiliary variable at current wave in two wave successive sampling. A general class of estimator is proposed and studied under randomized and scrambled response model. Many existing estimators have been modified to work for sensitive population mean estimation. The modified estimators became the members of proposed general class of estimators. The detail properties of all the estimators have been discussed. Their behaviour under randomized and scrambled response techniques have been elaborated. Numerical illustrations including simulation have been accompanied to judge the performance of different estimators. Finally suitable recommendations are forwarded.