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tests: additional test for expected chiqsquare and correlated fit based

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on cov obs added.
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Fabian Joswig 2022-03-07 11:54:09 +00:00
parent 0099750295
commit 99bead518c
1 changed files with 17 additions and 0 deletions
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17
tests/fits_test.py
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@ -319,6 +319,23 @@ def test_prior_fit():
fitp = pe.fits.least_squares([0, 1], y, f, priors=y, resplot=True, qqplot=True)
def test_correlated_fit_covobs():
x1 = pe.cov_Obs(1.01, 0.01 ** 2, 'test1')
x2 = pe.cov_Obs(2.01, 0.01 ** 2, 'test2')
x3 = pe.cov_Obs(2.99, 0.01 ** 2, 'test3')
[o.gamma_method() for o in [x1, x2, x3]]
def func(a, x):
return a[0] * x + a[1]
fit_res = pe.fits.least_squares(np.arange(1, 4), [x1, x2, x3], func, expected_chisquare=True)
assert np.isclose(fit_res.chisquare_by_dof, fit_res.chisquare_by_expected_chisquare)
fit_res_corr = pe.fits.least_squares(np.arange(1, 4), [x1, x2, x3], func, correlated_fit=True)
assert np.isclose(fit_res.chisquare_by_dof, fit_res_corr.chisquare_by_dof)
def test_error_band():
def f(a, x):
return a[0] + a[1] * x