Block bootstrap for Mann–Kendall trend test of serially dependent data
By Bihrat Önöz, M. Bayazit. 2012
179 citations recorded by the source corpus.
Subfields: Global and Planetary Change, Water Science and Technology
View Paper: https://www.semanticscholar.org/paper/3036b24b4bb339bf5c79b54371fe9db1de4df9f2
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Global and Planetary Change
In Water Science and Technology
Citations in the corpus
- Analysis and prediction of rainfall trends over Bangladesh using Mann–Kendall, Spearman’s rho tests and ARIMA model (2017, methodology): “A significant number of researchers have used TFPW method to remove serial dependency (Önöz and Bayazit 2012; Yaseen et al. 2013, 2014; Blain 2013; Ahmed et al. 2015).”
- Characterization of uncertainty in probabilistic model using bootstrap method and its application to reliability of piles (2015, unknown): “It has been widely used to derive the sampling distributions and confidence intervals of statistics in many fields such as hydrology and economics [29] [30] [31] [32].”
- The modified Mann-Kendall test: on the performance of three variance correction approaches (2013, methodology): “According to Önöz and Bayazit (2011) this detrending procedure should increase the power of the test.”