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Life Distribution Mathematical Functions - Page 2 of 2
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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
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Exponential Distributions>
Reference:
D.S. Peck & O.D. Trapp, Accelerated Testing Handbook, Technology
Associates
See
separate article on
Life Distributions
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