In statistics, analysis of rhythmic variance (ANORVA) is a method for detecting rhythms in biological

time series In mathematics, a time series is a series of data points indexed (or listed or graphed) in time order. Most commonly, a time series is a sequence taken at successive equally spaced points in time. Thus it is a sequence of discrete-time data. Ex ...

, published by Peter Celec (Biol Res. 2004, 37(4 Suppl A):777–82). It is a procedure for detecting cyclic variations in biological time series and quantification of their probability. ANORVA is based on the premise that the

variance In probability theory and statistics, variance is the expectation of the squared deviation of a random variable from its population mean or sample mean. Variance is a measure of dispersion, meaning it is a measure of how far a set of numbe ...

in groups of data from rhythmic variables is low when a time distance of one period exists between the data entries.

References

Analysis of rhythmic variance--ANORVA. A new simple method for detecting rhythms in biological time series.

Analysis of Rhythmic Variance
Analysis of variance Time series Biostatistics {{statistics-stub