Admissible and Optimal Estimation in Finite Population Sampling Under Randomized Response Models

Model-based ideas in finite-population sampling have received renewed discussion in recent years.Their relationship to the classical ideas in sampling theorydo not appear to be universally well understood by samplers in applied disciplines such as forestry, and ecology more broadly.The two inferential paradigms are constrasted, andexplanations are supplemented with examples of discrete aswell as continuously distributed populations. The treatment of spatial structureis examined, also.

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Bayes linear estimator for two-stage and stratified randomized response models

Model Assisted Statistics and Applications ◽

10.3233/mas-150336 ◽

2015 ◽

Vol 10 (4) ◽

pp. 321-333

Author(s):

Chang Kyoon Son ◽

Jong Min Kim

Keyword(s):

Linear Estimator ◽

Randomized Response ◽

Two Stage ◽

Response Models ◽

Randomized Response Models

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Nonparametric Bayes and empirical Bayes estimation of the population median, with application in finite-population sampling

Mathematical Population Studies ◽

10.1080/08898480.2018.1428469 ◽

2018 ◽

Vol 25 (3) ◽

pp. 159-167

Author(s):

Malay Ghosh ◽

Jiyoun Myung ◽

Paduthol Godan Sankaran

Keyword(s):

Empirical Bayes ◽

Finite Population ◽

Bayes Estimation ◽

Nonparametric Bayes ◽

Empirical Bayes Estimation ◽

Finite Population Sampling ◽

Population Sampling

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Finite Population Sampling and Robust Estimation

Journal of the American Statistical Association ◽

10.1080/01621459.1978.10481582 ◽

1978 ◽

Vol 73 (362) ◽

pp. 359-361 ◽

Cited By ~ 22

Author(s):

A. J. Scott ◽

K. R. W. Brewer ◽

E. W. H. Ho

Keyword(s):

Robust Estimation ◽

Finite Population ◽

Finite Population Sampling ◽

Population Sampling

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Some inferential aspects of finite population sampling with additional resources

Journal of Statistical Planning and Inference ◽

10.1016/0378-3758(87)90069-3 ◽

1987 ◽

Vol 16 ◽

pp. 203-211

Author(s):

Samindranath Sengupta ◽

Bikas K. Sinha ◽

Sastry G. Pantula

Keyword(s):

Finite Population ◽

Finite Population Sampling ◽

Population Sampling

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Robust Bayesian inference in finite population sampling with auxiliary information under balanced loss function

Journal of the Korean Data and Information Science Society ◽

10.7465/jkdi.2014.25.3.685 ◽

2014 ◽

Vol 25 (3) ◽

pp. 685-696

Author(s):

Eunyoung Kim ◽

Dal Ho Kim

Keyword(s):

Bayesian Inference ◽

Loss Function ◽

Finite Population ◽

Auxiliary Information ◽

Finite Population Sampling ◽

Balanced Loss Function ◽

Population Sampling ◽

Robust Bayesian Inference

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