A series of independent, normally distributed events may be arbitrarily intervalized on some a priori basis. The within interval variation is taken as a measure of short term variation in the series of events. The between interval variation is taken as a measure of long term variation in the series of events. The a priori intervalization is under the experimenter's control so that he may define short and long term variation for his own experimental situation. A conservative F statistic is developed for detecting a preponderance of short or long term variation.
Get full access to this article
View all access options for this article.
References
1.
Bennett, C. and Franklin, N.Statistical analysis in chemistry and the chemical industry . New York: John Wiley and Sons, Inc., 1961.
2.
Shine, L.An alternate statistic for testing the slow change assumption of the Shine-Bower error term. EDUCATIONAL AND PSYCHOLOGICAL MEASUREMENT, 1976, 36, 611-614.
