The pdf for the Arrhenius relationship and the exponential distribution is given next.
The pdf of the 1-parameter exponential distribution is given by:
(3)
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It can be easily shown that the mean life for the 1-parameter exponential distribution (presented in detail in the Life Distributions chapter) is given by:
(4)

thus,
(5)

The Arrhenius-exponential model pdf can then be obtained by setting m = L(V) in Eqn. (1). Therefore,
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Substituting for m in Eqn. (5) yields a pdf that is both a function of time and stress or,

Arrhenius Exponential Statistical Properties Summary
Mean or MTTF
The mean,
, or mean time to failure (MTTF) of the Arrhenius-exponential is given by:
(6)

Median
The median,
, of the Arrhenius-exponential is given by:
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Mode
The mode,
, of the Arrhenius-exponential is given by:
![]()
Standard Deviation
The standard deviation,
, of the Arrhenius-exponential is given by:
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Arrhenius-Exponential Reliability Function
The Arrhenius-exponential reliability function is given by:
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This function is the complement of the Arrhenius-exponential cumulative distribution function or,

and

Conditional Reliability
The Arrhenius-exponential conditional reliability function is given by:

Reliable Life
For the Arrhenius-exponential, the reliable life, or the mission for a desired reliability goal,
, is given by:

or

Parameter Estimation
Maximum Likelihood Estimation Method
The log-likelihood function for the exponential distribution is composed of two summation portions shown next.

where:
·
is the number of groups of exact times-to-failure data points.
·
is the number of times-to-failure in the
time-to-failure data group.
·
is the failure rate parameter (unknown).
·
is the exact failure time of the
group.
· S is the number of groups of suspension data points.
·
is the number of suspensions in the
group of suspension data points.
·
is the running time of the
suspension data group.
Substituting the Arrhenius-exponential model into the log-likelihood function yields,
(7)

The solution (parameter estimates) will be found by solving for the parameters
,
so that
= 0 and
= 0, where,

See Also:
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