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
This paper presents a statistical framework enabling optimal sampling and robust analysis of fatigue...
In this paper we present a sequential Monte Carlo algorithm for Bayesian sequential experimental des...
This paper provides methods of obtaining Bayesian D-optimal Accelerated Life Test (ALT) plans for se...
A Bayesian sequential experimental design for fatigue testing was implemented on the basis on D-opti...
Abstract A Bayesian sequential experimental design for fatigue testing was implemented on the basis...
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...
The aim of the present paper is to bring arguments in favour of Bayesian inference in the context o...
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 ...
In some experiments, the response is binary and one factor is being studied to estimate the factor s...
The application of Bayesian methods to the problem of fatigue crack growth prediction has been growi...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2...
Optimal fatigue life testing of materials is considered. Based on minimization of the total expected...
This paper presents a statistical framework enabling optimal sampling and robust analysis of fatigue...
In this paper we present a sequential Monte Carlo algorithm for Bayesian sequential experimental des...
This paper provides methods of obtaining Bayesian D-optimal Accelerated Life Test (ALT) plans for se...
A Bayesian sequential experimental design for fatigue testing was implemented on the basis on D-opti...
Abstract A Bayesian sequential experimental design for fatigue testing was implemented on the basis...
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...
The aim of the present paper is to bring arguments in favour of Bayesian inference in the context o...
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 ...
In some experiments, the response is binary and one factor is being studied to estimate the factor s...
The application of Bayesian methods to the problem of fatigue crack growth prediction has been growi...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2...
Optimal fatigue life testing of materials is considered. Based on minimization of the total expected...
This paper presents a statistical framework enabling optimal sampling and robust analysis of fatigue...
In this paper we present a sequential Monte Carlo algorithm for Bayesian sequential experimental des...
This paper provides methods of obtaining Bayesian D-optimal Accelerated Life Test (ALT) plans for se...
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