From: Tolerance intervals in statistical software and robustness under model misspecification
Distribution | Minitab | R | Python | SAS | JMP | NCSS | Equivalence |
---|---|---|---|---|---|---|---|
Normal | (Hoew 1969), (Wald and Wolfowitz 1946), (Weissberg and Beatty 1969) | One-sided: | |||||
(JMP, Minitab, NCSS, Python, R, SAS) | |||||||
Two-sided: | |||||||
(JMP, Minitab, R, SAS) | |||||||
(NCSS, Python, R) | |||||||
Nonparametric | (Faulkenberry and Daly 1970), (Wilks 1941b), (Robbins 1944), (Krishnamoorthy and Mathew 2009) | (Hahn and Meeker 1991), (Bury 1999), (Wald 1943), (Wilks 1941a), (Young and Mathew 2014) | (Minitab, NCSS, R, SAS) | ||||
(Continuous) | (JMP, Python, R) | ||||||
Lognormal | (Hoew 1969), (Wald and Wolfowitz 1946), (Weissberg and Beatty 1969) | (Minitab, R) | |||||
(Python, R) | |||||||
Gamma | |||||||
Exponential | |||||||
Smallest extreme value | |||||||
Weibull | |||||||
Largest extreme value | |||||||
Logistic | |||||||
Loglogistic |