Tag Archives: Schulz & Mudelsee (2002)

REDFIT’s rule of thumb

Because REDFIT tests many frequencies, some are likely to appear statistically significant just by chance — a classic multiple testing problem.  Schulz & Mudelsee (2002) “follow Thomson (1990) and select a false-alarm level of (1-1/n)*100%, where n is the number of data points … Continue reading

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REDFIT & false alarms

REDFIT is a useful tool for palaeoecologists who like to test their data for periodicities as it uses the Lomb-Scargle Fourier transform which tolerates unequal time intervals and so avoids the problems inherent in interpolating data to equal intervals. Several of the papers reporting the … Continue reading

Posted in EDA, Peer reviewed literature, R | Tagged , | 3 Comments