- The Distribution of
the Times to Failure: Data Acquisition, Reduction to Frequency
Histograms, Polygons, Frequency Distributions and Probability Density
Functions.
|
- Cumulative
Frequency and Distribution, Failure Probability and Reliability
Quantification.
|
- Quantification of
the Mean, Median, Mode, Standard Deviation, Distribution Moments;
Coefficient of Variation, Skewness and Kurtosis; and Distribution
Parameters.
|
- Average and
Instantaneous Failure Rate Quantification, Construction of Reliability
Bath-Tub Curves and Uses Thereof.
|
- The Reliability
Function, Its Relationship to the Failure Rate, and the Conditional
Reliability Function.
|
- The Mean Life
Function and the Quantification of the Mean-Time-Between-Failures
(MTBF).
|
- All About the Normal,
Truncated Normal, Weibull, Lognormal, Extreme Value, Rayleigh, Uniform,
Gamma and Beta Distributions.
|
- Identification of
Data Outliers: Grubbs, Kececioglu-Sun, Natrella-Dixon and Rank-Limits
Data Outliers Tests.
|
- Methods of
Distribution Parameters Estimation: Probability Plotting, Least Squares,
Matching Moments, Modified Moments and Maximum Likelihood.
|
- Goodness-of-Fit
Tests: Chi-squared, Kolmogorov-Smirnov (K-S), Refined K-S, Modified K-S,
Anderson-Darling, Modified Anderson-Darling, Cramer-von Mises (CvM), and
Modified CvM.
|
- Many Practical
Examples and Applications of All Previous Topics.
|
--29--