Bayesian Methods for Finite Population Sampling

2021 ◽  
Author(s):  
M. Ghosh ◽  
G. Meeden
Keyword(s):  
Bayesian Methods ◽  
Finite Population ◽  
Finite Population Sampling ◽  
Population Sampling

Design-based and model-based inference in survey sampling: appreciating the difference

1998 ◽  
Vol 28 (10) ◽  
pp. 1429-1447 ◽  
Author(s):  
T G Gregoire
Keyword(s):  
Finite Population ◽  
Survey Sampling ◽  
Finite Population Sampling ◽  
Population Sampling ◽  
Model Based ◽  
The Difference

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.

Admissibility of Unbiased Estimators in Finite Population Sampling for Samples of Size at Most two

1983 ◽  
Vol 32 (1-2) ◽  
pp. 91-102 ◽  
Author(s):  
S. Sengupta
Keyword(s):  
Sample Size ◽  
Finite Population ◽  
Sufficient Condition ◽  
Population Parameters ◽  
Finite Population Sampling ◽  
Unbiased Estimators ◽  
Population Sampling

A sufficient condition for admissibilitY is given for unbiased estimators of finite population parameters when sample size is at most two. The result is used to check admissibility of several unbiased estimators of population totals.

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