Seasonal Sen's Slope
Computes seasonal Sen's slope for linear rate of change
sea.sens.slope(x)
x |
a time series object of class "ts" |
Acccording to Hirsch et al. (1982) the seasonal Sen's slope is calculated as follows:
d[ijk] = (x[ij] - x[ik]) / (j - k)
for each (x[ij], x[ik]) pair i = 1, …, m, where (1 ≤q k < j ≤q n_i and n[i] is the number of known values in the i-th season. The seasonal slope estimator is the median of the d[ijk] values.
numeric, Seasonal Sen's slope.
Current Version is for complete observations only.
Hipel, K.W. and McLeod, A.I. (1994), Time Series Modelling of Water Resources and Environmental Systems. New York: Elsevier Science.
Hirsch, R., J. Slack, R. Smith (1982), T echniques of Trend Analysis for Monthly Water Quality Data. Water Resources Research 18, 107-121.
Sen, P.K. (1968), Estimates of the regression coefficient based on Kendall's tau, Journal of the American Statistical Association 63, 1379–1389.
sea.sens.slope(nottem)
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.