The Power of Statistical Tests for Trend Detection

425 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Using discrete wavelet transforms to analyze trends in streamflow and precipitation in Quebec and Ontario (1954–2008) (2012, methodology): “Partal (2010) analyzed streamflow datasets from four stations with different climatic conditions in Turkey, three from the Sakarya basin and one from the Seyhan basin.”
The importance of prewhitening in change point analysis under persistence (2016, methodology): “, sample size, magnitude of deterministic trend, type of the parent distribution) was studied by extensive Monte Carlo simulations about one decade ago (Yue et al. 2002a; Önöz and Bayazit 2003; Yue and Pilon 2004), whereas, to the best of our knowledge, an analogous study was performed only recently”
Univariate modelling of monthly maximum temperature time series over northeast India: neural network versus Yule–Walker equation based approach (2011, background): “Onoz and Bayazit, 2003; Wu et al., 2007; Jhajharia et al., 2009), it has been discussed that a non-parametric test for trend is more feasible for non-stationary time series than the parametric methods.”
To prewhiten or not to prewhiten in trend analysis? (2007, background): “Detailed information about the streamflow series can be found in Önöz & Bayazit (2003).”