Bryhn, Andreas
- Uppsala universitet
Linear trend analysis of time series is standard procedure in many scientific disciplines. If the number of data is large, a trend may be statistically significant even if data are scattered far from the trend line. This study introduces and tests a quality criterion for time trends referred to as statistical meaningfulness, which is a stricter quality criterion for trends than high statistical significance. The time series is divided into intervals and interval mean values are calculated. Thereafter, r(2) and p values are calculated from regressions concerning time and interval mean values. If r(2)>= 0.65 at p
PLoS ONE
2011, volym: 6, nummer: 4, artikelnummer: e19241
Sannolikhetsteori och statistik
https://res.slu.se/id/publ/84296