Testing for Homogeneous Variations in Periodic Data

When analyzing periodic data, there are not one but two intervals to be considered. Often these intervals correspond to seasons and years. Specifically, one expects relationships to exist (a) between observations for successive seasons in a particular year and (b) between the observations for the sa...

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Veröffentlicht in:	Journal of the Royal Statistical Society. Series D (The Statistician) 1993-01, Vol.42 (2), p.97-106
Hauptverfasser:	Sutradhar, Brajendra C., Dagum, Estela Bee
Format:	Artikel
Sprache:	eng
Schlagworte:	Autocorrelation Correlations Covariance Covariance matrices Degrees of freedom Error rates Exact sciences and technology Inference from stochastic processes time series analysis Mathematics Null hypothesis Probability and statistics Sciences and techniques of general use Statistical discrepancies Statistical theories Statistics
Online-Zugang:	Volltext
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