prob.3PW: Applies the 3PW method Estimate the probability of the MK...
In mannkendall/R: MannKendall trends for geophysical time series
Description
Usage
Arguments
Value
Author(s)
References
Description
Applies the 3PW method
Estimate the probability of the MK test with the 3PW method. To have the maximal certainty, P is taken as the maximum of P.PW and P.TFPW.Y. Estimate the statistical significance of the MK test as a function of the given confidence level alpha.mk
Usage
1
prob.3PW(P.PW, P.TFPW.Y, alpha.mk)
Arguments
P.PW
probability computed from the PW prewhitened dataset
P.TFPW.Y
probability computed from the TFPW_Y prewhitened dataset
alpha.mk
confidence level in percentage for the MK test.
Value
P probability of the MK test according to the 3PW method
ss statistical significance of the MK test (given the alpha.mk)
Author(s)
Martine Collaud Coen (martine.collaud@meteoswiss.ch), MeteoSwiss (CH) and Alessandro Bigi (abigi@unimore.it), University of Modena and Reggio Emilia (IT)
References
Collaud Coen, M., Andrews, E., Bigi, A., Romanens, G., Martucci, G., and Vuilleumier, L.: Effects of the prewhitening method, the time granularity and the time segmentation on the Mann-Kendall trend detection and the associated Sen's slope, Atmos. Meas. Tech., https://doi.org/10.5194/amt-2020-178, 2020.
mannkendall/R documentation built on Feb. 2, 2022, 7:31 p.m.
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Description Usage Arguments Value Author(s) References
Description
Applies the 3PW method Estimate the probability of the MK test with the 3PW method. To have the maximal certainty, P is taken as the maximum of P.PW and P.TFPW.Y. Estimate the statistical significance of the MK test as a function of the given confidence level alpha.mk
Usage
1 | prob.3PW(P.PW, P.TFPW.Y, alpha.mk)
|
Arguments
P.PW |
probability computed from the PW prewhitened dataset |
P.TFPW.Y |
probability computed from the TFPW_Y prewhitened dataset |
alpha.mk |
confidence level in percentage for the MK test. |
Value
P probability of the MK test according to the 3PW method
ss statistical significance of the MK test (given the alpha.mk)
Author(s)
Martine Collaud Coen (martine.collaud@meteoswiss.ch), MeteoSwiss (CH) and Alessandro Bigi (abigi@unimore.it), University of Modena and Reggio Emilia (IT)
References
Collaud Coen, M., Andrews, E., Bigi, A., Romanens, G., Martucci, G., and Vuilleumier, L.: Effects of the prewhitening method, the time granularity and the time segmentation on the Mann-Kendall trend detection and the associated Sen's slope, Atmos. Meas. Tech., https://doi.org/10.5194/amt-2020-178, 2020.
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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