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fix: bug in estimation of chisquare for correlated fit fixed, tests

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This commit is contained in:
Fabian Joswig 2022-05-26 13:52:05 +01:00
parent ff5540d667
commit e7f5961cd6
2 changed files with 9 additions and 1 deletions
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4
tests/fits_test.py
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@ -149,8 +149,10 @@ def test_correlated_fit():
return p[1] * anp.exp(-p[0] * x)
fitp = pe.least_squares(x, data, fitf, expected_chisquare=True)
assert np.isclose(fitp.chisquare / fitp.dof, fitp.chisquare_by_dof, atol=1e-14)
fitpc = pe.least_squares(x, data, fitf, correlated_fit=True)
assert np.isclose(fitpc.chisquare / fitpc.dof, fitpc.chisquare_by_dof, atol=1e-14)
for i in range(2):
diff = fitp[i] - fitpc[i]
diff.gamma_method()
@ -176,6 +178,8 @@ def test_fit_corr_independent():
out_corr = pe.least_squares(x, oy, func, correlated_fit=True, method=method)
assert np.isclose(out.chisquare, out_corr.chisquare)
assert np.isclose(out.dof, out_corr.dof)
assert np.isclose(out.chisquare_by_dof, out_corr.chisquare_by_dof)
assert (out[0] - out_corr[0]).is_zero(atol=1e-5)
assert (out[1] - out_corr[1]).is_zero(atol=1e-5)