USING DUMMY VARIABLES TO CHECK FOR ROUNDING ERROR IN COMPUTERIZED REGRESSION PROGRAMS * | Zendy

Mullet Gary M. | Zendy; Morgan David L. | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Premium

USING DUMMY VARIABLES TO CHECK FOR ROUNDING ERROR IN COMPUTERIZED REGRESSION PROGRAMS *

Author(s) -

Mullet Gary M.,

Morgan David L.

Publication year - 1976

Publication title -

decision sciences

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.238

H-Index - 108

eISSN - 1540-5915

pISSN - 0011-7315

DOI - 10.1111/j.1540-5915.1976.tb00658.x

Subject(s) - rounding , regression analysis , computer science , regression diagnostic , regression , statistics , truncation (statistics) , variables , partial least squares regression , linear regression , type i and type ii errors , mathematics , polynomial regression , operating system

After a brief review of the role of dummy variables in regression analysis and the current state‐of‐the art in rounding/truncation error detection in computerized least squares programs, this paper presents a theorem that can be used to detect this type of error whenever an analyst is running a regression program that has one (or more) dummy variables as independent variables.

This content is not available in your region!

Continue researching here.

Having issues? You can contact us here

Accelerating Research