Reliability
and Product Lifetime Analysis [Focus
Course, 4 days]
I. Statistical Thinking
in Reliability
A. Framework for Statistical
Thinking
B. Basic Concepts of Lifetime
Distributions
C. Some Important Models
D. Censoring, Statistical
Methods and Sampling
II. STATGRAPHICS Fundamentals
III. Inference Procedures
for Exponential Distributions
A. Single Samples
B. Comparison of Exponential
Distributions
C. Experimental Plans and
Life Test Procedures
D. Two-Parameter Exponential
Distribution
E. Non-robustness of Exponential
Inferences
IV. Inference Procedures
for Weibull and Extreme Value Distributions
A. Single Samples
B. Comparison of Weibull
or Extreme Value Distributions
C. Three-Parameter Weibull
Distribution
D. Life Test Plans Under
a Weibull Model
V. Inference Procedures for
Some Other Models
A. Gamma Distribution
B. Normal and Lognormal
Distributions
C. Generalized Gamma Distribution
D. Polynomial Hazard Function
and Other Models
E. Grouped Data
VI. Parametric Regression
Models
A. Types of Models
B. Residual Analysis and
Other Model Checks
C. Exponential Regression
Models
D. Weibull and Extreme Value
Regression Models
E. Normal and Lognormal
Regression Models
F. Gamma and Log-Gamma Regression
Models
G. Maximum Likelihood vs
Least Squares Estimation
VII. Nonparametric and Distribution-Free
Methods
A. Proportional Hazards
and the Cox Regression Model
B. Nonparametric Estimation
of Survivor Functions and Quantiles
C. Rank Tests for Comparing
Distributions
VIII. Goodness of Fit Testing
A. Some General Methods
B. Tests of Fit for Specific
Distributions
IX. Physical Acceleration
and Burn-In Models
A. Accelerated Testing Theory
B. Acceleration Models
C. Arrhenius Model
D. Eyring Model
E. Experimental Designs