sigma_rl {mkin}R Documentation

Two component error model of Rocke and Lorenzato

Description

Function describing the standard deviation of the measurement error in dependence of the measured value y:

sigma = sqrt(sigma_low^2 + y^2 * rsd_high^2)

Usage

sigma_rl(y, sigma_low, rsd_high)

Arguments

y

The magnitude of the observed value

sigma_low

The asymptotic minimum of the standard deviation for low observed values

rsd_high

The coefficient describing the increase of the standard deviation with the magnitude of the observed value

Value

The standard deviation of the response variable.

References

Rocke, David M. und Lorenzato, Stefan (1995) A two-component model for measurement error in analytical chemistry. Technometrics 37(2), 176-184.


[Package mkin version 0.9.47.1 Index]