Percentiles are estimates of the times at which a certain percent of the population has failed. By default, Minitab displays tables of percentiles for parametric distribution analysis for common percentiles.
The standard errors for the percentile estimates are the square root of the variances.
, , , , , , , , , , and denote the variances and covariances of the MLEs of μ, σ, α, β, θ, and λ, which are taken from the appropriate element of the inverse of the Fisher information matrix.
The formulas used for percentile and variance estimates for each distribution are as follows:
Term | Description |
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zp |
the inverse cdf of the standard distribution evaluated at p (the pth percentile of the standard distribution) |
Distribution | Confidence limits |
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Smallest extreme value Normal Logistic |
|
Weibull Exponential Lognormal Loglogistic |
where (for Weibull distribution) (for exponential distribution) (for lognormal and loglogistic distributions) |
3-parameter Weibull 2-parameter exponential 3-parameter lognormal 3-parameter loglogistic |
If λ < 0: If λ 0: where (for 3-parameter Weibull distribution) (for 2-parameter exponential distribution) (for 3-parameter lognormal and loglogistic distributions) |
For the calculations of the variance of the estimated xp, see the section "Percentiles and standard error of percentiles".
Term | Description |
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zα | the upper critical value for the standard normal distribution where 100α % is the confidence level. |