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Data Gallery: Guenther/ISO NOx Calibration (Errors-in-Variables Regression)

Introduction Frank Guenther is head of CSTL's Gas Metrology program in the Analytical Chemistry Division. The NIST Gas Metrology calibration service plays a critical role in the measurement of a wide spectrum of gases worldwide, and is a major player in ISO metrology.

The data analyzed below comes from a Guenther run involving the measurment of nitrous oxides. The calibration problem is complicated by the fact that the horizontal axis also has (non-negligible) noise, and so usual regression techniques do not apply. The statistical classification of this problem is "Errors-in-Variables". To show the flexibility of the Bayesian approach, we focus on the aspect of estimating the slope from the errors-in-variables linear fit. Such slope calculation (along with the intercept calculation) is a necessary intermediate step to the computation of the final calibration values.

You may also download the Guenther data.

Data

Guenther/ISO NOx Calibration Data

Prior Distribution 1:
Non-Informative
(~ Classical)

Guenther/ISO Non-informative Prior Distribution

Prior Distribution 2:
Uniform[.0001,.0003]
 

Guenther/ISO Uniform Prior Distribution

Prior Distribution 3:
Normal(.0002,.00001)
 

Guenther/ISO Normal Prior Distribution

Posterior Distribution 1

Posterior Distribution from Non-informative Prior

Posterior Distribution 2

Posterior Distribution from Uniform Prior

Posterior Distribution 3

Posterior Distribution from Normal Prior

Posterior Statistics 1

Posterior Statistics from Non-informative Prior

Posterior Statistics 2

Posterior Statistics from Uniform Prior

Posterior Statistics 3

Posterior Statistics from Normal Prior

Date created: 9/21/2001
Last updated: 9/21/2001
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