Commit 8e74d40c authored by Harald RINGBAUER's avatar Harald RINGBAUER

Update readme.txt

parent adf2e6b3
...@@ -9,7 +9,8 @@ Load-Data: This is the file which loads the relevant files and does some prelimi ...@@ -9,7 +9,8 @@ Load-Data: This is the file which loads the relevant files and does some prelimi
Analysis: This is a class which actually does most of the inference tasks; or where the MLE-scheme classes are called from. It also contains methods for statistical analysis of the MLE-results, like the bootstrap. Analysis: This is a class which actually does most of the inference tasks; or where the MLE-scheme classes are called from. It also contains methods for statistical analysis of the MLE-results, like the bootstrap.
This class also includes the formulas for the fit in the mle model. For inference it creates the mle_estim_error object and passes it the formula and the according starting values. This class also includes the formulas for the fit in the mle model. For inference it creates the mle_estim_error object and passes it the formula and the according starting values.
mle_estim_error: This is the important class which actually does the MLE-estimation. As the name says; it includes the errors, and the error-formulas are written out there. The class inherits from "general_likelihood_model", where the likelihood per observation and underlying model is overwritten. Thus one has a frame-work do to standard-mle tasks. This class also contains the parameters for the mle-analysis, for example the underlying binning. It also has the very important formulas for the error model in it. mle_estim_error: This is the important class which actually does the MLE-estimation. As the name says; it includes the errors, and the error-formulas are written out there. The class inherits from "general_likelihood_model", where the likelihood per observation and underlying model is overwritten. Thus one has a frame-work do to standard-mle tasks.
(!!) This class also contains the parameters for the mle-analysis, for example the underlying binning. It also has the very important formulas for the error model in it.
var_plots: Stand-alone class for producing various 'nice' plots. var_plots: Stand-alone class for producing various 'nice' plots.
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