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ERIC Number: EJ856379
Record Type: Journal
Publication Date: 2009
Pages: 17
Abstractor: As Provided
Reference Count: 17
ISBN: N/A
ISSN: ISSN-1069-1898
Calibration Experiments for a Computer Vision Oyster Volume Estimation System
Chang, G. Andy; Kerns, G. Jay; Lee, D. J.; Stanek, Gary L.
Journal of Statistics Education, v17 n2 2009
Calibration 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.)
American 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
Publication Type: Journal Articles; Reports - Descriptive
Education Level: Higher Education; Postsecondary Education
Audience: Teachers
Language: English
Sponsor: N/A
Authoring Institution: N/A