From a37ba8f8898e4629dfc9d2558fc19a180551de2d Mon Sep 17 00:00:00 2001 From: Johannes Ranke Date: Fri, 19 Jan 2018 16:01:47 +0100 Subject: Reweighting with two-component error model Static documentation except articles rebuilt by pkgdown --- docs/reference/sigma_rl.html | 167 +++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 167 insertions(+) create mode 100644 docs/reference/sigma_rl.html (limited to 'docs/reference/sigma_rl.html') diff --git a/docs/reference/sigma_rl.html b/docs/reference/sigma_rl.html new file mode 100644 index 00000000..36f2a0c1 --- /dev/null +++ b/docs/reference/sigma_rl.html @@ -0,0 +1,167 @@ + + + + + + + + +Two component error model of Rocke and Lorenzato — sigma_rl • mkin + + + + + + + + + + + + + + + + + + + + + + + + + + +
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Two component error model of Rocke and Lorenzato

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

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

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sigma_rl(y, sigma_low, rsd_high)
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Arguments

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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

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Value

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The standard deviation of the response variable.

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References

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

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