QMEDfseSS: QMED factorial standard error for gauged sites
In UKFE: UK Flood Estimation
QMEDfseSS R Documentation
QMED factorial standard error for gauged sites
Description
Estimates the median annual maximum flow (QMED) factorial standard error (FSE) by bootstrapping the sample
Usage
QMEDfseSS(x)
Arguments
x
a numeric vector. The sample of interest
Details
The bootstrapping procedure resamples from the sample N*500 times with replacement. After splitting into 500 samples of size N, the median is calculated for each. Then the exponent of the standard deviation of the log transformed residuals is taken as the FSE. i.e. exp(sd(log(x)-mean(log(x)))), where x is the bootstrapped medians.
Value
The factorial standard error for the median of a sample.
Author(s)
Anthony Hammond
Examples
#Extract an AMAX sample and estimate the QMED factorial standard error
AM.203018 <- GetAM(203018)
QMEDfseSS(AM.203018$Flow)
UKFE documentation built on Nov. 6, 2023, 1:07 a.m.
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| QMEDfseSS | R Documentation |
QMED factorial standard error for gauged sites
Description
Estimates the median annual maximum flow (QMED) factorial standard error (FSE) by bootstrapping the sample
Usage
QMEDfseSS(x)
Arguments
x |
a numeric vector. The sample of interest |
Details
The bootstrapping procedure resamples from the sample N*500 times with replacement. After splitting into 500 samples of size N, the median is calculated for each. Then the exponent of the standard deviation of the log transformed residuals is taken as the FSE. i.e. exp(sd(log(x)-mean(log(x)))), where x is the bootstrapped medians.
Value
The factorial standard error for the median of a sample.
Author(s)
Anthony Hammond
Examples
#Extract an AMAX sample and estimate the QMED factorial standard error
AM.203018 <- GetAM(203018)
QMEDfseSS(AM.203018$Flow)
R Package Documentation
Browse R Packages
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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