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Maximun Likelihood parameters estimation<br />
To completely define eq. (iii), it is necessary to find the values <strong>of</strong> the parameters “ν” and “σ E ”. This is<br />
possible by applying the method <strong>of</strong> Maximum Likelihood Estimator, as follows:<br />
ln( likelihood)<br />
= Λ =<br />
n<br />
∑<br />
i=<br />
1<br />
⎡ 1 ⎡ Ei<br />
Ni<br />
ln⎢<br />
φ ⎢<br />
⎣σ<br />
EEi<br />
⎣<br />
− E0e<br />
σ<br />
E<br />
−υt<br />
⎤⎤<br />
⎥⎥<br />
⎦<br />
⎦<br />
(iv)<br />
The parameters estimate “υˆ ” and “ σˆ ”, will be found by solving for all the evidence equation (iv),<br />
so that:<br />
E<br />
∂Λ<br />
∂υ<br />
= 0<br />
∂Λ<br />
= 0<br />
∂σ E<br />
(v)<br />
(vi)<br />
Once the estimators “υˆ ” and “ σˆ ” have been found based on the evidence, the equation (iv) is<br />
E<br />
totally defined for any value <strong>of</strong> t i , and it represents the distribution function <strong>of</strong> the stress.<br />
pdf<br />
E(<br />
t))<br />
= f ( E,<br />
t)<br />
=<br />
ˆ σ<br />
1<br />
e<br />
2π<br />
1 ⎡<br />
− ⎢<br />
2 ⎢⎣<br />
( E(<br />
t )<br />
−E<br />
e<br />
0<br />
2<br />
ˆ σ E<br />
(<br />
E<br />
) ⎤<br />
⎥<br />
⎥⎦<br />
− ˆ υt<br />
2<br />
(vii)<br />
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