scholarly journals The use of a Kolmogorov--Smirnov type statistic in testing hypotheses about seasonal variation.

1979 ◽  
Vol 33 (3) ◽  
pp. 223-228 ◽  
Author(s):  
L S Freedman
Keyword(s):  
Seasonal Variation ◽  
Testing Hypotheses ◽  
Type Statistic ◽  
Kolmogorov Smirnov

Analysis of the seasonal variation of schizophrenic births using a Kolmogorov-Smirnov type statistic

1997 ◽  
Vol 12 (3) ◽  
pp. 111-116 ◽  
Author(s):  
H Verdoux ◽  
N Takei ◽  
R Cassou de Saint-Mathurin ◽  
M Bourgeois
Keyword(s):  
Seasonal Variation ◽  
General Population ◽  
Population Data ◽  
Early Spring ◽  
Expected Number ◽  
Type Statistic ◽  
Adult Psychiatry ◽  
Schizophrenic Patients ◽  
Kolmogorov Smirnov ◽  
Mailed Survey

SummaryPrevious studies have shown that schizophrenic patients are more likely to be born in winter or early spring months than the general population. Data on 4,207 patients with a hospital diagnosis of schizophrenia were obtained from a mailed survey to public departments of adult psychiatry in metropolitan France. For each year from 1900 to 1965, the expected monthly number of schizophrenic births was calculated and any seasonal variation of live births in the general population was taken into account. Cumulative distributions of the observed and expected number of schizophrenic births were compared using a Kolmogorov-Smirnov type statistic. The seasonal distribution of schizophrenic births was significantly different from that of the general population (P < 0.01). An excess of schizophrenic births was found in the first half of the year, with a peak in April (+ 13%).

Testing hypotheses about ordinal interactions: Simulations and further comments.

1989 ◽  
Vol 74 (2) ◽  
pp. 247-252 ◽  
Author(s):  
Michael J. Strube ◽  
Philip Bobko
Keyword(s):  
Testing Hypotheses
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