# confInt_sTL: Estimated confidence intervals using sTL In flood: Statistical Methods for the (Regional) Analysis of Flood Frequency

## Description

Estimated regional (or local) (1-alpha)-confidence intervals for an estimated quantile by using seasonal TL(0,1)-moments (sTL).

## Usage

 `1` ```confInt_sTL(x1, x2, p, j = 1, alpha = 0.05) ```

## Arguments

 `x1` vector or matrix of observations from season 1 (rows: observations, columns: stations). `x2` vector or matrix of observations from season 2 (rows: observations, columns: stations). `p` a probability. `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.

## Value

List of

• `ci` confidence interval.

• `quant` estimated quantile from a two-component GEV using trimmed L-moments (leftrim=0, rightrim=1).

• `var` variance of the estimated quantile.

## Examples

 ``` 1 2 3 4 5 6 7 8 9 10``` ```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 confInt_sTL(x1=x1, x2=x2, p=0.95, alpha=0.05) # Seasonal observations of 100 years at 4 stations: x1 <- matrix(rgev(400, 2, 1, 0.3), ncol=4) x2 <- matrix(rgev(400, 4, 1, 0.2), ncol=4) confInt_sTL(x1=x1, x2=x2, j=2, p=0.95, alpha=0.05) ```

### Example output

```\$ci
[1]  7.103154 12.812078

\$quant
[1] 9.957616

\$var
[1] 169.6846

\$ci
[1]  7.749313 10.121882

\$quant
[1] 8.935598

\$var
[1] 36.63377
```

flood documentation built on May 30, 2017, 8:25 a.m.