Judgement sampling in market research and opinion polling is standardly criticized as unsatisfactory on the grounds of its subjectivity, and it is widely held that random sampling is the only scientific means of investigating properties of large populations. This paper investigates these claims. It concludes that the principle of random sampling is not well founded. It also argues that Bayesian theory, which allows judgement samples, provides an intuitively correct basis for investigating population properties
This thesis consists of an Introduction and two Topics. The Introduction deals with the underlying t...
People often extrapolate from data samples, inferring properties of the population like the rate of ...
Abstract: Systematic sampling is a widely used technique in survey sampling. It is easy to execute, ...
In the usual Bayesian approach to survey sampling the sampling design, plays a minimal role, at best...
The statistician's view of randomness- our useful tool: As statisticians we are well used to ex...
There is an ongoing debate in the survey research literature about whether and when probability and ...
There is an ongoing debate in the survey research literature about whether and when probability and ...
Executive Summary- Probability sampling has a well-developed, relatively straightforward, design-bas...
A sample is a subset of a population and we survey the units from the sample with the aim to learn a...
Scientific learning is seen as an iterative process employing Criticism and Estimation. Sampling the...
The usefulness of any research is dependent upon how well the group studied represents the group abo...
I agree with Rob Kass’ point that we can and should make use of statistical methods developed under ...
The three parts of this book on survey methodology combine an introduction to basic sampling theory,...
Sampling bias means that the samples of a stochastic variable that are collected to determine its di...
This thesis is concerned with the foundations of statistics and how they interact with the practica...
This thesis consists of an Introduction and two Topics. The Introduction deals with the underlying t...
People often extrapolate from data samples, inferring properties of the population like the rate of ...
Abstract: Systematic sampling is a widely used technique in survey sampling. It is easy to execute, ...
In the usual Bayesian approach to survey sampling the sampling design, plays a minimal role, at best...
The statistician's view of randomness- our useful tool: As statisticians we are well used to ex...
There is an ongoing debate in the survey research literature about whether and when probability and ...
There is an ongoing debate in the survey research literature about whether and when probability and ...
Executive Summary- Probability sampling has a well-developed, relatively straightforward, design-bas...
A sample is a subset of a population and we survey the units from the sample with the aim to learn a...
Scientific learning is seen as an iterative process employing Criticism and Estimation. Sampling the...
The usefulness of any research is dependent upon how well the group studied represents the group abo...
I agree with Rob Kass’ point that we can and should make use of statistical methods developed under ...
The three parts of this book on survey methodology combine an introduction to basic sampling theory,...
Sampling bias means that the samples of a stochastic variable that are collected to determine its di...
This thesis is concerned with the foundations of statistics and how they interact with the practica...
This thesis consists of an Introduction and two Topics. The Introduction deals with the underlying t...
People often extrapolate from data samples, inferring properties of the population like the rate of ...
Abstract: Systematic sampling is a widely used technique in survey sampling. It is easy to execute, ...