In the usual Bayesian approach to survey sampling the sampling design, plays a minimal role, at best. Although a close relationship between exchangeable prior distributions and simple random sampling has been noted; how to formally integrate simple random sampling into the Bayesian paradigm is not clear. Recently it has been argued that the sampling design can be thought of as part of a Bayesian's prior distribution. We will show here that under this scenario simple random sample can be given a Bayesian justification in survey sampling
Executive Summary- Probability sampling has a well-developed, relatively straightforward, design-bas...
Mathematical statistics has been used in various areas because of its accurate and objective results...
University of Minnesota Ph.D. dissertation. December 2012. Major: Statistics. Advisor:Glen Meeden. 1...
Judgement sampling in market research and opinion polling is standardly criticized as unsatisfactory...
Survey data collection costs have risen to a point where many survey researchers and polling compani...
In the design of surveys, a number of input parameters such as contact propensities, participation p...
Data from large surveys are often supplemented with sampling weights that are designed to reflect un...
Inference for survey data needs to take account of the survey design. Failing to consider the survey...
This thesis consists of an Introduction and two Topics. The Introduction deals with the underlying t...
Carefully designed probability-based sample surveys can be prohibitively expensive to conduct. As su...
Carefully designed probability-based sample surveys can be prohibitively expensive to conduct. As su...
A sample is a subset of a population and we survey the units from the sample with the aim to learn a...
We analyse the issue of using prior information in frequentist statistical inference. For that purpo...
Abstract: Systematic sampling is a widely used technique in survey sampling. It is easy to execute, ...
Sample size determination is a prerequisite for statistical surveys. A comprehensive overview of the...
Executive Summary- Probability sampling has a well-developed, relatively straightforward, design-bas...
Mathematical statistics has been used in various areas because of its accurate and objective results...
University of Minnesota Ph.D. dissertation. December 2012. Major: Statistics. Advisor:Glen Meeden. 1...
Judgement sampling in market research and opinion polling is standardly criticized as unsatisfactory...
Survey data collection costs have risen to a point where many survey researchers and polling compani...
In the design of surveys, a number of input parameters such as contact propensities, participation p...
Data from large surveys are often supplemented with sampling weights that are designed to reflect un...
Inference for survey data needs to take account of the survey design. Failing to consider the survey...
This thesis consists of an Introduction and two Topics. The Introduction deals with the underlying t...
Carefully designed probability-based sample surveys can be prohibitively expensive to conduct. As su...
Carefully designed probability-based sample surveys can be prohibitively expensive to conduct. As su...
A sample is a subset of a population and we survey the units from the sample with the aim to learn a...
We analyse the issue of using prior information in frequentist statistical inference. For that purpo...
Abstract: Systematic sampling is a widely used technique in survey sampling. It is easy to execute, ...
Sample size determination is a prerequisite for statistical surveys. A comprehensive overview of the...
Executive Summary- Probability sampling has a well-developed, relatively straightforward, design-bas...
Mathematical statistics has been used in various areas because of its accurate and objective results...
University of Minnesota Ph.D. dissertation. December 2012. Major: Statistics. Advisor:Glen Meeden. 1...