Logarithms Exponents Sum. Likelihood function in Logistic Regression
Syntax
logexp_sum(matrix) |
short call; |
logexp_sum_name(matrix) |
call with optional name. |
Parameters
matrix is a Matrix of Scenarios:
where ,
where the header row contains names of variables (except scenario_benchmark and scenario_probability). Other rows contain numerical data. The scenario_probability column is optional.
Mathematical Definition
Logarithms Exponents Sum function is calculated as follows:
,
where
,
is an argument of Logarithms Exponents Sum function.
Remarks
In order to include the intercept in the polynomial , one should assign . In this case, the matrix of scenarios should be set as follows:
Example
Case Studies with Logarithms Exponents Sum
See also
Logistic, Root Mean Squared Error (st_pen), Root Mean Squared Error (st_pen)