Abstract: Regression Models

Education and Training: Regression Models
Time and Location	Regression Models Will Guthrie Statistical Engineering Division, NIST Course not currently scheduled
Abstract	Provides an introduction to the construction and validation of regression models from a practical point of view. Scientific and engineering examples are used to show the steps in the model-building process and to give an intuitive understanding of regression algorithms and the associated hypothesis tests and statistical intervals. Both linear and nonlinear regression are covered, with special attention to calibration and outlier resistant regression. A computer-based approach is used for calculations to minimize the number of equations and formulas used. Matrix algebra is not emphasized in this course.
Comments on Course	REGISTRATION FEE IS $120. A set of notes will be provided for the class, and a textbook (Graybill and Iyer, Regression Analysis: Concepts and Applications, Duxbury Press) will be utilized.
Further Information	For further information, contact Sandra Heydemann (ext. 3032; sandra.heydemann@nist.gov) (only after course is scheduled) Will Guthrie (ext. 2854; william.guthrie@nist.gov) or register online (once the course is scheduled) at http://www-i.nist.gov/cgi-bin/training.cgi
Date created: 2/1/2002 Last updated: 2/1/2002 Please email comments on this WWW page to sedwww@nist.gov.

Education and Training: Regression Models