Add to ORKGAbstract. In this paper problem of testing of hypothesis is discussed when the samples have been drawn from normal distribution. The study of hypothesis testing is also extended to Bayes set up. AMS Subject Classification: 62F03
The smooth empirical Bayes approach is based on using past observations to estimate a specified type...
In this thesis, two areas of goodness-of fit are discussed and new methodology proposed. In the fir...
We examine philosophical problems and sampling deficiencies that are associated with current Bayesia...
This paper considers the problem of choosing the sample size for testing hypotheses on the parameter...
This chapter focuses on Bayesian methods and illustrates both the intrinsic unity of Bayesian thinki...
This paper considers a Bayesian approach to pint null hypothesis testing when the sampling distribut...
Hypothesis testing is a model selection problem for which the solution proposed by the two main stat...
In modern statistical and machine learning applications, there is an increasing need for developing ...
Hypothesis testing is a special form of model selection. Once a pair of competing models is fully de...
This dissertation discusses sample size determination to obtain the desired Bayes factor if the rese...
While the Bayesian parameter estimation has gained a wider acknowledgement among political scientist...
Hypothesis testing is a model selection problem for which the solution proposed by the two main stat...
Summary. We examine philosophical problems and sampling deficiencies that are associated with curren...
Hypothesis testing problems in which the null hypothesis is simple, the parameter space is finite di...
Bayesian testing of a point null hypothesis is considered. The null hypothesisis that an observation...
The smooth empirical Bayes approach is based on using past observations to estimate a specified type...
In this thesis, two areas of goodness-of fit are discussed and new methodology proposed. In the fir...
We examine philosophical problems and sampling deficiencies that are associated with current Bayesia...
This paper considers the problem of choosing the sample size for testing hypotheses on the parameter...
This chapter focuses on Bayesian methods and illustrates both the intrinsic unity of Bayesian thinki...
This paper considers a Bayesian approach to pint null hypothesis testing when the sampling distribut...
Hypothesis testing is a model selection problem for which the solution proposed by the two main stat...
In modern statistical and machine learning applications, there is an increasing need for developing ...
Hypothesis testing is a special form of model selection. Once a pair of competing models is fully de...
This dissertation discusses sample size determination to obtain the desired Bayes factor if the rese...
While the Bayesian parameter estimation has gained a wider acknowledgement among political scientist...
Hypothesis testing is a model selection problem for which the solution proposed by the two main stat...
Summary. We examine philosophical problems and sampling deficiencies that are associated with curren...
Hypothesis testing problems in which the null hypothesis is simple, the parameter space is finite di...
Bayesian testing of a point null hypothesis is considered. The null hypothesisis that an observation...
The smooth empirical Bayes approach is based on using past observations to estimate a specified type...
In this thesis, two areas of goodness-of fit are discussed and new methodology proposed. In the fir...
We examine philosophical problems and sampling deficiencies that are associated with current Bayesia...