| Reliability Analysis
Introduction
The reliability procedure estimates the parameters of the
exponential, extreme value, logistic, log-logistic, lognormal, normal,
and Weibull probability distributions by maximum likelihood and least
squares. It can fit complete, right censored, left censored, interval
censored (readout), and grouped data values. It also computes the
nonparametric Kaplan-Meier and Nelson-Aalen estimates of reliability and
associated hazard rates.
Another module fits the regression relationship between time-to-failure
and one or more independent variables. The distribution of the residuals
(errors) can follow the exponential, extreme value, logistic,
log-logistic, lognormal, lognormal10, normal, or Weibull distributions.
The data may include failed, left censored, right censored, and interval
observations. This type of data often arises in the area of accelerated
life testing.
Features
> Accelerated life
testing
> Arrhenius transformation
> Beta distribution
> Censoring – all types
> Competing risks
> Confidence limits
> Cox-Snell residuals
> Cumulative Incidence
> Distribution selection
> Exponential distribution
> Exponential regression
> Extreme-value distribution
> Extreme-value regression
> Failure time percentiles
> Gamma distribution
> Goodness of fit
> Hazard rate plots
> Hazard functions & plots
> Information matrix |
>
Kaplan-Meier product limit
> Least squares estimates
> Life-table analysis
> Log-logistic distribution
> Log-logistic regression
> Lognormal distribution
> Lognormal regression
> Maximum likelihood
> Poisson regression
> Probit analysis
> Probability plots
> Reliability statistics
> Residual analysis
> Residual life report
> Stress variables
> Stress plots
> Threshold estimate
> Weibull distribution
> Weibull regression |
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