Add to ORKGAbstract A Bayesian sequential experimental design for fatigue testing was implemented on the basis on D-optimality and a non-linear continuous damage model. The design accounts for the whole range of testing levels
In this paper we present a sequential Monte Carlo algorithm for Bayesian sequential experimental des...
International audienceWe focus on the specific issue of identifying (static) optimal physical experi...
This paper presents a statistical framework enabling optimal sampling and robust analysis of fatigue...
A Bayesian sequential experimental design for fatigue testing was implemented on the basis on D-opti...
When optimizing an accelerated degradation testing (ADT) plan, the initial values of unknown model p...
A statistical framework is presented enabling optimal sampling and analysis of constant life fatigue...
<p>Most of the recently developed methods on optimum planning for accelerated life tests (ALT) invol...
Alphabetic optimal design theory assumes that the model for which the optimal design is derived is u...
Structural reliability analysis is concerned with estimation of the probability of a critical event ...
The aim of the present paper is to bring arguments in favour of Bayesian inference in the context o...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2...
In some experiments, the response is binary and one factor is being studied to estimate the factor s...
Optimal fatigue life testing of materials is considered. Based on minimization of the total expected...
This thesis considers the problem of the sequential design of experiments from a Bayesian standpoint...
This paper provides methods of obtaining Bayesian D-optimal Accelerated Life Test (ALT) plans for se...
In this paper we present a sequential Monte Carlo algorithm for Bayesian sequential experimental des...
International audienceWe focus on the specific issue of identifying (static) optimal physical experi...
This paper presents a statistical framework enabling optimal sampling and robust analysis of fatigue...
A Bayesian sequential experimental design for fatigue testing was implemented on the basis on D-opti...
When optimizing an accelerated degradation testing (ADT) plan, the initial values of unknown model p...
A statistical framework is presented enabling optimal sampling and analysis of constant life fatigue...
<p>Most of the recently developed methods on optimum planning for accelerated life tests (ALT) invol...
Alphabetic optimal design theory assumes that the model for which the optimal design is derived is u...
Structural reliability analysis is concerned with estimation of the probability of a critical event ...
The aim of the present paper is to bring arguments in favour of Bayesian inference in the context o...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2...
In some experiments, the response is binary and one factor is being studied to estimate the factor s...
Optimal fatigue life testing of materials is considered. Based on minimization of the total expected...
This thesis considers the problem of the sequential design of experiments from a Bayesian standpoint...
This paper provides methods of obtaining Bayesian D-optimal Accelerated Life Test (ALT) plans for se...
In this paper we present a sequential Monte Carlo algorithm for Bayesian sequential experimental des...
International audienceWe focus on the specific issue of identifying (static) optimal physical experi...
This paper presents a statistical framework enabling optimal sampling and robust analysis of fatigue...