Journal of Statistical Theory and Applications

Volume 18, Issue 4, December 2019, Pages 361 - 366

An Application of Hermite Distribution in Sensitive Surveys

Authors
Said Farooq Shah1, Zawar Hussain2, *
1Department of Statistics, Quaid-i-Azam University 45320, Islamabad 44000, Pakistan
2Department of Social & Allied Sciences, Cholistan University of Veterinary & Animal Sciences, Bahawalpur, Pakistan
*Corresponding author. Email: zhlangah@yahoo.com
Corresponding Author
Zawar Hussain
Received 7 April 2016, Accepted 10 September 2017, Available Online 21 November 2019.
DOI
10.2991/jsta.d.191112.002How to use a DOI?
Keywords
Hermite distribution; Randomized response techniques; Sensitive surveys
Abstract

In this article, we proposed an efficient estimator for estimating population proportion of individuals possessing sensitive attribute in a finite dichotomous population. We used the Hermite distribution to randomize the responses in the randomization design of Kuk [1]. The relative efficiency results depicted that the proposed technique is relatively better than those of Kuk [1], Singh and Grewal [2] and Hussain et al. [3] and Hussain et al. [4].

Copyright
© 2019 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
Journal of Statistical Theory and Applications
Volume-Issue
18 - 4
Pages
361 - 366
Publication Date
2019/11/21
ISSN (Online)
2214-1766
ISSN (Print)
1538-7887
DOI
10.2991/jsta.d.191112.002How to use a DOI?
Copyright
© 2019 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Said Farooq Shah
AU  - Zawar Hussain
PY  - 2019
DA  - 2019/11/21
TI  - An Application of Hermite Distribution in Sensitive Surveys
JO  - Journal of Statistical Theory and Applications
SP  - 361
EP  - 366
VL  - 18
IS  - 4
SN  - 2214-1766
UR  - https://doi.org/10.2991/jsta.d.191112.002
DO  - 10.2991/jsta.d.191112.002
ID  - Shah2019
ER  -