Enhancing a Randomized Response Model to Estimate Population Means to Sensitive Questions

被引：4
|
作者：
Dihidar, Kajal [1 ]
Chowdhury, Joydeep [2 ]
机构：
[1] Indian Stat Inst, Sampling & Official Stat Unit, Kolkata 700108, W Bengal, India
[2] Indian Stat Inst, Bayesian & Interdisciplinary Res Unit, Kolkata 700108, W Bengal, India
来源：
MATHEMATICAL POPULATION STUDIES | 2013年 / 20卷 / 03期
关键词：
efficiency in estimation; scrambling variable; sensitive attribute; unequal probability sampling; COMPLEX SURVEY; EFFICIENCY; DESIGNS;
D O I：
10.1080/08898480.2013.816216
中图分类号：
C921 [人口统计学];
学科分类号：
摘要：
The population means of variables such as expenditure on alcohol, abortion, amount of dowry are estimated on modifying Gjestvang and Singh (2009) randomized response model. Instead of simple random sampling with replacement scheme, the respondents are allowed to be chosen by any varying probability sampling scheme, which in particular, also includes simple random sampling with replacement scheme. Whatever the sampling design, the modified estimators perform better than the usual estimator.
引用
收藏
页码：123 / 136
页数：14
相关论文
共 50 条
  • [1] A Hybrid Paillier Encryption and Randomized Response Technique Model for Surveying Sensitive Questions with Binary Response
    Pujita Sapra
    Somya Mohanty
    Sadia Khalil
    Sat Gupta
    [J]. Journal of Statistical Theory and Practice, 2024, 18
  • [2] A Hybrid Paillier Encryption and Randomized Response Technique Model for Surveying Sensitive Questions with Binary Response
    Sapra, Pujita
    Mohanty, Somya
    Khalil, Sadia
    Gupta, Sat
    [J]. JOURNAL OF STATISTICAL THEORY AND PRACTICE, 2024, 18 (01)
  • [3] Using randomized response from a complex survey to estimate a sensitive proportion in a dichotomous finite population
    Chaudhuri, A
    [J]. JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 2001, 94 (01) : 37 - 42
  • [4] Using Randomized Response to Estimate the Population Mean of a Sensitive Variable under the Influence of Measurement Error
    Tiwari, Kuldeep Kumar
    Bhougal, Sandeep
    Kumar, Sunil
    Rather, Khalid Ul Islam
    [J]. JOURNAL OF STATISTICAL THEORY AND PRACTICE, 2022, 16 (02)
  • [5] Using Randomized Response to Estimate the Population Mean of a Sensitive Variable under the Influence of Measurement Error
    Kuldeep Kumar Tiwari
    Sandeep Bhougal
    Sunil Kumar
    Khalid Ul Islam Rather
    [J]. Journal of Statistical Theory and Practice, 2022, 16
  • [6] A randomized response procedure for multiple-sensitive questions
    Lucio Barabesi
    Sara Franceschi
    Marzia Marcheselli
    [J]. Statistical Papers, 2012, 53 : 703 - 718
  • [7] Partial Randomized Response Model for Simultaneous Estimation of Means of Two Sensitive Variables
    Narjis, Ghulam
    Shabbir, Javid
    Onyango, Ronald
    [J]. MATHEMATICAL PROBLEMS IN ENGINEERING, 2022, 2022
  • [8] A randomized response procedure for multiple-sensitive questions
    Barabesi, Lucio
    Franceschi, Sara
    Marcheselli, Marzia
    [J]. STATISTICAL PAPERS, 2012, 53 (03) : 703 - 718
  • [9] Two-stage unrelated randomized response model to estimate the prevalence of a sensitive attribute
    Vishwakarma, Gajendra K.
    Kumar, Amod
    Kumar, Neelesh
    [J]. COMPUTATIONAL STATISTICS, 2024, 39 (02) : 865 - 890
  • [10] Two-stage unrelated randomized response model to estimate the prevalence of a sensitive attribute
    Gajendra K. Vishwakarma
    Amod Kumar
    Neelesh Kumar
    [J]. Computational Statistics, 2024, 39 : 865 - 890
12345