Open AccessStudy to Alter the Nuisance Effect of Non-Response Using Scrambled Mechanism
Author(s) -
Chandraketu Singh,
Mustafa Kamal,
G. N. Singh,
Jong Min Kim
Publication year - 2021
Publication title -
risk management and healthcare policy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.828
H-Index - 22
ISSN - 1179-1594
DOI - 10.2147/rmhp.s294731
Subject(s) - estimator , computer science , multiplicative function , matlab , randomized response , population , software , sample (material) , econometrics , statistics , mathematics , mathematical analysis , chemistry , demography , chromatography , sociology , programming language , operating system
In biometric sample surveys, our objective is to get ready-made information for future planning and policy implementations related to the subject matters of highly sensitive issues. In such situations, we apply randomized response/scrambled response techniques. There are many highly sensitive issues which need to be examined over time as they may have a tendency to change. To get rid of these types of practical cases we need a scrambled response technique on successive occasions.