The Weibull model is widely used for estimating the reliability of engineering materials. More reliable parts tend to last longer (i.e. have a large time before failure). Estimates of Weibull model parameters can be achieved by using a least squares method to fit a straight line on a logarithmic plot. This Demonstration describes a method for comparing two Weibull models for reliability via weight measures. The PDFs or CDFs are plotted. The weight functions measure a combination of failure time and failure probability. For a chosen weight function, larger weight values indicate higher reliability of the material whose failure time follows that Weibull distributionComponente Curricular::Educação Superior::Ciências Exatas e da Terra::Probabi...
We propose a linear regression method for estimating Weibull parameters from life tests. The method ...
Understand and utilize the latest developments in Weibull inferential methods While the Weibull di...
A reliability prediction is essential for developing reliable products. The manufacturer should know...
The Weibull model is widely used for estimating the reliability of engineering materials. More relia...
In this paper, we study three different models, each involving two Weibull distributions, to model f...
WOS: 000514814600023Weibull distribution is widely used in the modeling of mechanical properties suc...
Abstract: In this paper, we present the study of the two-parameter Weibull distribution theory and i...
Abstract: The Weibull failure model is considered in this paper. Some testimators are pro-posed of t...
OBJECTIVES Comparison of estimation of the two-parameter Weibull distribution by two least squares ...
Reliability estimation procedures are discussed for the example of fatigue development in solder joi...
This thesis discusses about the reliability of the system having Weibull lifetime distribution. Issu...
In this chapter, a practical and dynamic method to determine the reliability of a process (or produc...
Design codes and fitness-for-service protocols have recognized the need to characterize the tensile ...
Copyright © 2014 by ASTM International. Design codes and fitness-for-service protocols have recogniz...
The Weibull distribution is widely used in lifetime data analysis. For example, in studies on the ti...
We propose a linear regression method for estimating Weibull parameters from life tests. The method ...
Understand and utilize the latest developments in Weibull inferential methods While the Weibull di...
A reliability prediction is essential for developing reliable products. The manufacturer should know...
The Weibull model is widely used for estimating the reliability of engineering materials. More relia...
In this paper, we study three different models, each involving two Weibull distributions, to model f...
WOS: 000514814600023Weibull distribution is widely used in the modeling of mechanical properties suc...
Abstract: In this paper, we present the study of the two-parameter Weibull distribution theory and i...
Abstract: The Weibull failure model is considered in this paper. Some testimators are pro-posed of t...
OBJECTIVES Comparison of estimation of the two-parameter Weibull distribution by two least squares ...
Reliability estimation procedures are discussed for the example of fatigue development in solder joi...
This thesis discusses about the reliability of the system having Weibull lifetime distribution. Issu...
In this chapter, a practical and dynamic method to determine the reliability of a process (or produc...
Design codes and fitness-for-service protocols have recognized the need to characterize the tensile ...
Copyright © 2014 by ASTM International. Design codes and fitness-for-service protocols have recogniz...
The Weibull distribution is widely used in lifetime data analysis. For example, in studies on the ti...
We propose a linear regression method for estimating Weibull parameters from life tests. The method ...
Understand and utilize the latest developments in Weibull inferential methods While the Weibull di...
A reliability prediction is essential for developing reliable products. The manufacturer should know...