Value of the Log-Likelihood Function L, where Input is in Phi-Parametrization
Gives the value of
L(φ) = ∑_{i=1}^m w_i φ(x_i) - int_{x_1}^{x_m} \exp(φ(t)) dt.
Local_LL(x, w, phi)
x |
Vector of independent and identically distributed numbers, with strictly increasing entries. |
w |
Optional vector of nonnegative weights corresponding to x_m. |
phi |
Some vector φ of the same length as x and w. |
Value L=L(φ) of the log-likelihood function is returned.
This function is not intended to be invoked by the end user.
Kaspar Rufibach, kaspar.rufibach@gmail.com,
http://www.kasparrufibach.ch
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