The choice of a statistic for testing hypotheses regarding seasonality.
This paper discusses statistical methods for testing hypotheses of seasonality in births across one year, using monthly frequencies. It argues that the Freedman test, a variant of the Kolmogorov-Smirnov one-sample test, and the Edwards test and its modifications are most appropriate for this purpose. These tests take into account the order of the monthly frequencies and have a higher power than the ordinary chi-square goodness-of-fit test, regarding seasonality. The paper addresses some points mentioned in earlier papers by McCullough, and O'Brien and Holbert.
Reijneveld
S A
SA
Department of Social Medicine, EMGO Institute, Free University, Amsterdam, The Netherlands.
D005260:Female; D006801:Humans; D007743:Labor, Obstetric; D011247:Pregnancy; D012621:Seasons; D013223:Statistics as Topic