The use of a Kolmogorov--Smirnov type statistic in testing hypotheses about seasonal variation.
AUTOR(ES)
Freedman, L S
RESUMO
This paper presents a non-parametric method for testing departures from a uniform seasonal variation in incidence of disease. The method may be used either with exact dates of incidence when they are available or with monthly totals. It is equally valid for sinusoidal and non-sinusoidal departures from uniformity. A simulation study shows it to be much more powerful than other non-parametric alternatives and nearly as powerful as Edwards's test in detecting sinusoidal departures.
ACESSO AO ARTIGO
http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=1051959Documentos Relacionados
- Revisão dos valores críticos do teste Lilliefors: em direção ao correto uso agrometeorológico do algoritmo de Kolmogorov-Smirnov
- Testing Hypotheses about Linkage Disequilibrium with Multiple Alleles
- Testing hypotheses
- Characterization of Shigella type 1 fimbriae: expression, FimA sequence, and phase variation.
- Comparing measures of variation.