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Abstract
This article provides an overview of the interplay between statistics and measurement. Measurement quality affects inference from data collected and analyzed using statistical methods while appropriate data analysis quantifies the quality of measurements. This article brings material on statistics and measurement together in one place as a resource for practitioners. Both frequentist and Bayesian methods are discussed.
Additional information
Notes on contributors
Stephen Vardeman
Dr. Vardeman is a Professor in the Department of Statistics and Department of Industrial and Manufacturing Systems. His email address is [email protected].
Michael S. Hamada
Dr. Hamada is a Scientist in the Statistical Sciences Group. He is a senior member of ASQ. His email address is [email protected].
Tom Burr
Dr. Burr is a Scientist in the Statistical Sciences Group. His email address is [email protected].
Max Morris
Dr. Morris is a Professor in the Department of Statistics and Department of Industrial and Manufacturing Systems. He is a member of ASQ. His email address is [email protected].
Joanne Wendelberger
Dr. Wendelberger is a Scientist in the Statistical Sciences Group. She is a senior member of ASQ. Her email address is [email protected].
J. Marcus Jobe
Dr. Jobe is a Professor in the Farmer School of Business. His email address is [email protected].
Leslie Moore
Dr. Moore is a Guest Scientist in the Statistical Sciences Group. Her email address is [email protected].
Huaiquing Wu
Dr. Wu is an Associate Professor in the Department of Statistics. His email address is [email protected].