Modelling sensitive issues on successive waves

• Authors: Kumari Priyanka , Pidugu Trisandhya

Abstracts

EN

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.

Keywords

EN

Sensitive variable; Successive waves; Scrambled Response model; Class of estimators; Population mean; Bias; Mean squared error; Optimum matching fraction

• Publisher: Główny Urząd Statystyczny
• Journal: Statistics in Transition new series
• Year: 2019
• Volume: 20
• Issue: 1
• Pages: 41-65

Contributors

author

Kumari Priyanka

• Department of Mathematics , Shivaji College, University of Delhi, New Delhi, India

author

Pidugu Trisandhya

• Department of Mathematics , Shivaji College, University of Delhi, New Delhi, India

Identifiers

DOI

10.21307/stattrans-2019-003

Biblioteka Nauki

1359283