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-rw-r--r--src/test/test_prob_distr.c6
1 files changed, 4 insertions, 2 deletions
diff --git a/src/test/test_prob_distr.c b/src/test/test_prob_distr.c
index c3d1c80d70..541a81df3a 100644
--- a/src/test/test_prob_distr.c
+++ b/src/test/test_prob_distr.c
@@ -893,7 +893,7 @@ test_uniform_interval(void *arg)
*
* NIST/SEMATECH e-Handbook of Statistical Methods, Section
* 1.3.6.7.4 `Critical Values of the Chi-Square Distribution',
- * <http://www.itl.nist.gov/div898/handbook/eda/section3/eda3674.htm>,
+ * <https://www.itl.nist.gov/div898/handbook/eda/section3/eda3674.htm>,
* retrieved 2018-10-28.
*/
@@ -1223,14 +1223,16 @@ test_stochastic_weibull_impl(double lambda, double k)
.k = k,
};
+// clang-format off
/*
* XXX Consider applying a Tiku-Singh test:
*
* M.L. Tiku and M. Singh, `Testing the two-parameter
* Weibull distribution', Communications in Statistics --
* Theory and Methods A10(9), 1981, 907--918.
- *https://www.tandfonline.com/doi/pdf/10.1080/03610928108828082?needAccess=true
+https://www.tandfonline.com/doi/pdf/10.1080/03610928108828082?needAccess=true
*/
+// clang-format on
return test_psi_dist_sample(&dist.base);
}