flood (version 0.1.1)

confInt_W: Estimated confidence intervals using W

Description

Estimated regional (or local) (1-alpha)-confidence intervals for an estimated quantile by using the annual Weissman estimator (W).

Usage

confInt_W(x, p, j = 1, alpha = 0.05, ...)

Arguments

x

vector or matrix of annual observations.

p

a probability. Should be between $1-k_j/n_j$ and 1, where $n_j$ is the sample length of the j-th column.

j

quantile and parameter estimation for the jth station (jth column of x). Irrelevant if is x1 and x2 are vectors.

alpha

confidence level for confidence interval.

...

additional arguments, see RegioWeissman

Value

List of

• ci confidence interval.
• quant estimated quantile using Weissman's estimator.

Examples

library("evd")
# Seasonal observations of 80 years at one station:
x1 <- rgev(80, 2, 1, 0.2) # observations from season 1
x2 <- rgev(80, 3, 1, 0.3) # observations from season 2
x <- seas2ann(x1, x2) # calculaes annual maxima of the two seasons
confInt_W(x=x, p=0.95, alpha=0.05)

# Seasonal observations of 100 years at 4 stations:
x1 <- matrix(rgev(400, 2, 1, 0.3), ncol=4) # observations from season 1
x2 <- matrix(rgev(400, 2, 1, 0.2), ncol=4) # observations from season 2
x <- seas2ann(x1, x2) # calculaes annual maxima of the two seasons
confInt_W(x=x, j=2, p=0.95, alpha=0.05)