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Autor/inn/enChang, G. Andy; Kerns, G. Jay; Lee, D. J.; Stanek, Gary L.
TitelCalibration Experiments for a Computer Vision Oyster Volume Estimation System
QuelleIn: Journal of Statistics Education, 17 (2009) 2, (17 Seiten)Infoseite zur Zeitschrift
PDF als Volltext Verfügbarkeit 
Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN1069-1898
SchlagwörterClass Activities; Regression (Statistics); Measurement; Experiments; Assignments; Computer Uses in Education; Handheld Devices; Mathematical Concepts; Mathematics Instruction; Mathematics Activities; Problem Solving; College Mathematics; Units of Study; Learning Activities; Teaching Methods; Measurement Equipment; Science Equipment; Instrumentation; Industry
AbstractCalibration is a technique that is commonly used in science and engineering research that requires calibrating measurement tools for obtaining more accurate measurements. It is an important technique in various industries. In many situations, calibration is an application of linear regression, and is a good topic to be included when explaining and learning the concepts of linear regression. However, calibration is not often mentioned in the introductory statistics textbooks or in the introductory statistics classrooms. The goal of this paper is to share with instructors an example with real data for simple linear regression and its application in calibration. It can be used as a lecture example, a class project, or a lab activity. (Contains 10 figures and 3 tables.) (As Provided).
AnmerkungenAmerican Statistical Association. 732 North Washington Street, Alexandria, VA 22314. Tel: 703-684-1221; Tel: 888-231-3473; Fax: 703-684-2037; e-mail: asainfo@amstat.org; Web site: http://www.amstat.org/publications/jse
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2017/4/10
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