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Maximum Likelihood Fits in C++

myFitter is a library for maximum likelihood fits and the numerical computation 
of p-values in likelihood ratio tests. It has been implemented independently in 
C++ and Python.

In some situations the statistical significance (p-value) of a likelihood ratio 
test can not be computed analytically. This is, for example, the case when some 
parameters of the model are only allowed to float within a certain range or 
when the models being compared are not nested, meaning that neither model can 
be obtained from the other by fixing some of its parameters.

myFitter implements a method for efficient numerical computation of p-values. 
This method is also applicable in the case of non-nested models. It also 
provides a convenient framework for performing combined fits of data from 
different experiments.

Source Files

Filename Size Changed Actions
myFitter.pdf 281 KB over 4 years ago Download File
myFitter.spec 5.81 KB over 4 years ago Download File
myfitter-0.2.tar.gz 528 KB over 4 years ago Download File

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