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Data Gallery: Norris Ozone Calibration (Linear Calibration)

Introduction National laboratories around the world depend on the expertise of Jim Norris (CSTL, Analytical Chemistry Division) for the design, fabrication, and calibration of state-of-the-art ozone monitors. Such precision is needed for the accurate measurement and monitoring of atmospheric ozone globally.

The data analyzed below is a typical Norris run, with the lower-precision customer device ozone concentration on the vertical axis, and the ultra-precise NIST ozone concentration on the horizontal axis. The representative problem of interest is as follows: A customer device reading of (say) 400 corresponds to a NIST (true) reading of what? The statistical categorization of this problem is "Linear Calibration".

You may also download the Norris data.

Data

Norris Ozone Calibration Data

Prior Distribution 1:
Non-Informative
(~ Classical)

Norris Non-informative Prior Distribution

Prior Distribution 2:
Uniform[399.9,400.1]
 

Norris Uniform Prior Distribution

Prior Distribution 3:
Normal(400,0.05)
 

Norris 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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