𝔖 Bobbio Scriptorium
✦   LIBER   ✦

The Power of a Nonparametric Test for Seasonality

✍ Scribed by Dr. Osvaldo Marrero

Publisher
John Wiley and Sons
Year
2007
Tongue
English
Weight
378 KB
Volume
30
Category
Article
ISSN
0323-3847

No coin nor oath required. For personal study only.

✦ Synopsis

A computer simulation study waa carried out to assess the performance of the test for seasonality of HE^ et aI. with monthly incidence rates. This test can be very powerful against an allnus1 sinusoidal pattern. The test's power agaiust a semi-annual sinusoidal pattern or against a "onepulse" pattern is very small for the parameter values considered in this study.

πŸ“œ SIMILAR VOLUMES

A Nonparametric Test for Random Dropouts
A Nonparametric Test for Random Dropouts
✍ Joachim Listing; Rainer Schlittgen πŸ“‚ Article πŸ“… 2003 πŸ› John Wiley and Sons 🌐 English βš– 118 KB πŸ‘ 1 views
A Nonparametric Test for Differences in
A Nonparametric Test for Differences in the Dispersion of Dependent Samples
✍ Dr. K. Boehnke πŸ“‚ Article πŸ“… 1989 πŸ› John Wiley and Sons 🌐 English βš– 477 KB πŸ‘ 1 views

A new statistic A to test the hypothesis of a difference in the dispersion of two dependent samples of ordinal data quality is proposed. It draws on the idea of rank assignment originally forwarded by SIEGBL and TWEY (1960). No exact probability levels can be given for this statistic for the time be

A Likelihood Ratio Test for the Nonparam
A Likelihood Ratio Test for the Nonparametric Behrens-Fisher Problem
✍ James F. Troendle πŸ“‚ Article πŸ“… 2002 πŸ› John Wiley and Sons 🌐 English βš– 97 KB πŸ‘ 1 views

The nonparametric Behrens-Fisher hypothesis is the most appropriate null hypothesis for the two-sample comparison when one does not wish to make restrictive assumptions about possible distributions. In this paper, a numerical approach is described by which the likelihood ratio test can be calculated