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Exponential Distributions>
Table 3.
Lognormal
Distribution
|
Probability Density Function
|
f(t) =
e^{-0.5[(ln(t)-µ)/s]2}
/ (stÖ2p) |
|
Cumulative Density Function
|
F(t) =
(1/[sÖ(2p)])
ò0t
(1/x)
e^{-0.5[(ln(x)-µ)/s]2}dx |
|
Instantaneous Failure Rate
|
l(t)
= f(t)/(1-F(t)) |
|
Median
|
t = t50%
= eµ |
|
Mean
|
t = e^(µ+s2/2) |
|
Mode
|
t = e^(µ-s2) |
|
Location Parameter
|
eµ |
|
Shape
Parameter
s
|
s -
s,estimate of
s,
may be calculated as ln(t50%/t16%) |
Table 4. Weibull Distribution
|
Probability Density Function
|
f(t) = ([b(t-g)b-1]/[ab])
(e^{-[(t-g)/a]b}) |
|
Cumulative Density Function
|
F(t) =
1 - e^{-[(t-g)/a]b} |
|
Instantaneous Failure Rate
|
l(t)
= [b(t-g)b-1]/[ab]
|
|
Location Parameter
|
a
= t at 63.2%
failure |
|
Shape
Parameter
|
b |
|
Time Delay
Parameter
|
g,
not used
unless data do not fit the distribution without time delay |
<Back to Page 1 - Normal and
Exponential Distributions>
Reference:
D.S. Peck & O.D. Trapp, Accelerated Testing Handbook, Technology
Associates
See
separate article on
Life Distributions
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