Foreword
Introduction
1 Scope
2 Normative references
3 Terms and definitions
4 Symbols and abbreviated terms
5 Goodness of fit
6 Point estimators for the parameters beta and theta of
the distribution
6.1 Censored sample
6.2 Uncensored (complete) sample
7 Assessment of data and tests
7.1 The Weibull diagram
7.2 Graphical representation of the estimated
distribution function
7.3 Plotting of sample data in the Weibull diagram
7.3.1 Single values
7.3.2 Classified values
7.4 Assessment of sample data
8 Confidence intervals
8.1 Confidence interval for the shape parameter beta
8.2 Confidence interval for the value of the distribution
function G(x) at a given value of x, of the attribute
X
8.3 Confidence interval for the scale parameter theta
8.3.1 Method for all samples
8.3.2 Method for uncensored samples
8.4 Confidence interval for the value x of the attribute
X at a given value G(x) of the distribution function
8.4.1 Method for all samples
8.4.2 Method for uncensored samples
Annex A (informative) Examples
A.1 Uncensored sample
A.1.1 Data
A.1.2 Statistical evaluation
A.2 Censored sample
A.2.1 Data
A.2.2 Statistical evaluation
Annex B (informative) Weibull graph
Bibliography