Calibration estimation of adjusted Kuk’s randomized response model for sensitive attribute

Chang Kyoon Son; Jong Min Kim

doi:10.1214/16-BJPS307

Calibration estimation of adjusted Kuk’s randomized response model for sensitive attribute

Chang Kyoon Son, Jong Min Kim

Statistics (Morris)

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

In this paper, we consider the calibration procedure for Su et al.’s [Sociol. Methods Res. 44 (2014) DOI:10.1177/0049124114554459] adjusted Kuk randomized response (RR) technique by using auxiliary information such as gender or age group of respondents associated with the variable of interest. Our proposed calibration method can overcome the problems such as noncoverage and nonresponse. From the efficiency comparison study, we show that the calibrated adjusted Kuk’s RR estimators are more efficient than that of Su et al. [Sociol. Methods Res. 44 (2014) DOI:10.1177/0049124114554459], when the known population cell and marginal counts of auxiliary information are used for the calibration procedure.

Original language	English (US)
Pages (from-to)	160-178
Number of pages	19
Journal	Brazilian Journal of Probability and Statistics
Volume	31
Issue number	1
DOIs	https://doi.org/10.1214/16-BJPS307
State	Published - Feb 2017

Bibliographical note

Funding Information:
This work was supported by the Dongguk University Research Fund of 2012.

Publisher Copyright:
© Brazilian Statistical Association, 2017.

Keywords

Adjusted Kuk’s RRT
Calibration estimator
Post-stratification
Randomized response technique

Publisher link

10.1214/16-BJPS307

Find It

Find It at U of M Libraries

Cite this

@article{b158419d3a2b40fcb867c26894e510b2,

title = "Calibration estimation of adjusted Kuk{\textquoteright}s randomized response model for sensitive attribute",

abstract = "In this paper, we consider the calibration procedure for Su et al.{\textquoteright}s [Sociol. Methods Res. 44 (2014) DOI:10.1177/0049124114554459] adjusted Kuk randomized response (RR) technique by using auxiliary information such as gender or age group of respondents associated with the variable of interest. Our proposed calibration method can overcome the problems such as noncoverage and nonresponse. From the efficiency comparison study, we show that the calibrated adjusted Kuk{\textquoteright}s RR estimators are more efficient than that of Su et al. [Sociol. Methods Res. 44 (2014) DOI:10.1177/0049124114554459], when the known population cell and marginal counts of auxiliary information are used for the calibration procedure.",

keywords = "Adjusted Kuk{\textquoteright}s RRT, Calibration estimator, Post-stratification, Randomized response technique",

author = "Son, {Chang Kyoon} and Kim, {Jong Min}",

note = "Funding Information: This work was supported by the Dongguk University Research Fund of 2012. Publisher Copyright: {\textcopyright} Brazilian Statistical Association, 2017.",

year = "2017",

month = feb,

doi = "10.1214/16-BJPS307",

language = "English (US)",

volume = "31",

pages = "160--178",

journal = "Brazilian Journal of Probability and Statistics",

issn = "0103-0752",

publisher = "Associacao Brasileira de Estatistica",

number = "1",

}

TY - JOUR

T1 - Calibration estimation of adjusted Kuk’s randomized response model for sensitive attribute

AU - Son, Chang Kyoon

AU - Kim, Jong Min

N1 - Funding Information: This work was supported by the Dongguk University Research Fund of 2012. Publisher Copyright: © Brazilian Statistical Association, 2017.

PY - 2017/2

Y1 - 2017/2

N2 - In this paper, we consider the calibration procedure for Su et al.’s [Sociol. Methods Res. 44 (2014) DOI:10.1177/0049124114554459] adjusted Kuk randomized response (RR) technique by using auxiliary information such as gender or age group of respondents associated with the variable of interest. Our proposed calibration method can overcome the problems such as noncoverage and nonresponse. From the efficiency comparison study, we show that the calibrated adjusted Kuk’s RR estimators are more efficient than that of Su et al. [Sociol. Methods Res. 44 (2014) DOI:10.1177/0049124114554459], when the known population cell and marginal counts of auxiliary information are used for the calibration procedure.

AB - In this paper, we consider the calibration procedure for Su et al.’s [Sociol. Methods Res. 44 (2014) DOI:10.1177/0049124114554459] adjusted Kuk randomized response (RR) technique by using auxiliary information such as gender or age group of respondents associated with the variable of interest. Our proposed calibration method can overcome the problems such as noncoverage and nonresponse. From the efficiency comparison study, we show that the calibrated adjusted Kuk’s RR estimators are more efficient than that of Su et al. [Sociol. Methods Res. 44 (2014) DOI:10.1177/0049124114554459], when the known population cell and marginal counts of auxiliary information are used for the calibration procedure.

KW - Adjusted Kuk’s RRT

KW - Calibration estimator

KW - Post-stratification

KW - Randomized response technique

UR - http://www.scopus.com/inward/record.url?scp=85010886926&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85010886926&partnerID=8YFLogxK

U2 - 10.1214/16-BJPS307

DO - 10.1214/16-BJPS307

M3 - Article

AN - SCOPUS:85010886926

SN - 0103-0752

VL - 31

SP - 160

EP - 178

JO - Brazilian Journal of Probability and Statistics

JF - Brazilian Journal of Probability and Statistics

IS - 1

ER -

Calibration estimation of adjusted Kuk’s randomized response model for sensitive attribute

Abstract

Bibliographical note

Keywords

Publisher link

Find It

Other files and links

Fingerprint

Cite this