IEEE 930 : 2004
Withdrawn
A Withdrawn Standard is one, which is removed from sale, and its unique number can no longer be used. The Standard can be withdrawn and not replaced, or it can be withdrawn and replaced by a Standard with a different number.
11-09-2023
01-01-2004
Introduction
1 Scope
2 References
3 Steps required for analysis of breakdown data
3.1 Data acquisition
3.2 Characterizing data using a probability function
3.3 Hypothesis testing
4 Probability distributions for failure data
4.1 The Weibull distribution
4.2 The Gumbel distribution
4.3 The lognormal distribution
4.4 Mixed distributions
4.5 Other terminology
5 Testing the adequacy of a distribution
5.1 Weibull probability data
5.2 Use of probability paper for the three-parameter Weibull
distribution
5.3 The shape of a distribution plotted on Weibull probability
paper
5.4 A simple technique for testing the adequacy of the Weibull
distribution
6 Graphical estimates of Weibull parameters
7 Computational techniques for Weibull parameter estimation
7.1 Larger data sets
7.2 Smaller data sets
8 Estimation of Weibull percentiles
9 Estimation of confidence intervals for the Weibull function
9.1 Graphical procedure for complete and censored data
9.2 Plotting confidence limits
10 Estimation of the parameter and their confidence limits of the
log-normal function
10.1 Estimation of lognormal parameters
10.2 Estimation of confidence intervals of log-normal parameters
11 Comparison tests
11.1 Simplified method to compare percentiles of Weibull
distributions
12 Estimating Weibull parameters for a system using data
from specimens
Annex A (informative) Least squares regression
Annex B (informative) Bibliography
Annex C (informative) List of participants
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