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Data Gallery: Zarr Thermal Conductivity (k-Lab Consensus Value)

Introduction The accurate measurment of thermal conductivity is an important problem scientifically, industrially, and for environmental heat conservation. Bob Zarr of BFRL's Building Environments Division is NIST's worldwide expert on the measurment of thermal conductivity.

The data below is from a 4-year international interlab experiment that Zarr designed and coordinated. This experiment involved 5 national laboratories. We use the data to illustrate the common problem at arriving at a consensus value across labs--especially when the labs differ in their results.

The statistical categorization of this problem is the "k-Lab Consensus Mean". A good discussion of this problem is in Mark Levenson's (et al) paper (2000): An ISO GUM Approach to Combining Results from Multiple Methods", Journal of Research of the National Institute of Standards and Technology, 105, 571.

You may also download the Zarr data.

Data

Zarr Thermal Conductivity Interlab Consensus Mean Data

Prior Distribution 1:
Non-Informative
(~ Classical)

Zarr Non-informative Prior Distribution

Prior Distribution 2:
Uniform[.30,.36]
 

Zarr Uniform Prior Distribution

Prior Distribution 3:
Normal(.32,.02)
 

Zarr 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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