For some distributions commonly used in reliability analysis the likelihood function has a singularity at the smallest observation. The use of grouped likelihood in Bayesian inference is discussed. It is shown that the product of spacings can be used in place of the likelihood. Similarities with and differences from a standard Bayesian approach are illustrated by means of examples. In particular some computational advantages are pointed out
The aim of this thesis is to cover the basics of Bayesian inference. Bayesian logic is to consider p...
Loss distributions have a number of uses in the pricing and reserving of casualty insurance. Many au...
Suppose Yi is an estimator or sufficient statistic for a location parameter [theta]i (i = 1,...,k) o...
For some distributions commonly used in reliability analysis the likelihood function has a singulari...
The product of spacings is suggested as an alternative to the likelihood in Bayesian inference. It i...
The paper aims to study the consequences of using product of spacings (PS) as an alternative to the ...
For a given prior density, we minimize the Shannon Mutual Information between a parameter and the da...
We consider maximum likelihood methods for estimating the end point of a distribution. The likelihoo...
In this paper the likelihood function is considered to be the primary source of the objectivity of a...
Approximate Bayesian computation has become an essential tool for the analysis of complex stochastic...
In geographical epidemiology, maps of disease rates and disease risk provide a spatial perspective f...
Attribute life testing is one way assessing the reliability of a device, in which only the informati...
This paper describes Bayesian methods for life test planning with censored data from a log-location-...
This paper investigates the viability of conducting Bayesian inference when the only information l...
This richly illustrated textbook covers modern statistical methods with applications in medicine, ep...
The aim of this thesis is to cover the basics of Bayesian inference. Bayesian logic is to consider p...
Loss distributions have a number of uses in the pricing and reserving of casualty insurance. Many au...
Suppose Yi is an estimator or sufficient statistic for a location parameter [theta]i (i = 1,...,k) o...
For some distributions commonly used in reliability analysis the likelihood function has a singulari...
The product of spacings is suggested as an alternative to the likelihood in Bayesian inference. It i...
The paper aims to study the consequences of using product of spacings (PS) as an alternative to the ...
For a given prior density, we minimize the Shannon Mutual Information between a parameter and the da...
We consider maximum likelihood methods for estimating the end point of a distribution. The likelihoo...
In this paper the likelihood function is considered to be the primary source of the objectivity of a...
Approximate Bayesian computation has become an essential tool for the analysis of complex stochastic...
In geographical epidemiology, maps of disease rates and disease risk provide a spatial perspective f...
Attribute life testing is one way assessing the reliability of a device, in which only the informati...
This paper describes Bayesian methods for life test planning with censored data from a log-location-...
This paper investigates the viability of conducting Bayesian inference when the only information l...
This richly illustrated textbook covers modern statistical methods with applications in medicine, ep...
The aim of this thesis is to cover the basics of Bayesian inference. Bayesian logic is to consider p...
Loss distributions have a number of uses in the pricing and reserving of casualty insurance. Many au...
Suppose Yi is an estimator or sufficient statistic for a location parameter [theta]i (i = 1,...,k) o...
DOI
Add to ORKG