LeastSq

class sherpa.stats.LeastSq(name='leastsq')[source] [edit on github]

Bases: sherpa.stats.Chi2

Least Squared Statistic.

The least-square statistic is equivalent to a chi-square statistic where the error on each point - sigma(i) - is 1.

Methods Summary

calc_chisqr(data, model) Return the chi-square value for each bin.
calc_stat(data, model) Return the statistic value for the data and model.
calc_staterror(data) Return the statistic error values for the data.

Methods Documentation

calc_chisqr(data, model) [edit on github]

Return the chi-square value for each bin.

Parameters:
  • data (a Data or DataSimulFit instance) – The data set, or sets, to use.
  • model (a Model or SimulFitModel instance) – The model expression, or expressions. If a SimulFitModel is given then it must match the number of data sets in the data parameter.
Returns:

chisqr – The per-bin chi-square values.
Return type:

array of numbers
calc_stat(data, model) [edit on github]

Return the statistic value for the data and model.

Parameters:
  • data (a Data or DataSimulFit instance) – The data set, or sets, to use.
  • model (a Model or SimulFitModel instance) – The model expression, or expressions. If a SimulFitModel is given then it must match the number of data sets in the data parameter.
Returns:

statval, fvec – The statistic value and the per-bin “statistic” value.
Return type:

number, array of numbers
static calc_staterror(data)[source] [edit on github]

Return the statistic error values for the data.

Parameters:data (scalar or 1D array of numbers) – The data values.
Returns:staterror – The errors for the input data values (matches the data argument).
Return type:scalar or array of numbers