Errors in Variables: A Problem in Regression and its Solution
1986 ◽
Vol 18
(5)
◽
pp. 687-693
◽
Keyword(s):
It is not uncommon in socioeconomic analysis to measure variables with error, as in a 10% census. The estimation of linear regression coefficients using such ‘errors-in-variables’ models requires modification of the usual ordinary least squares techniques. The underlying theory both for simple and for multiple regression models is explained, and followed up with a numerical example based on a structure plan model of car ownership.
Keyword(s):
2006 ◽
Vol 97
(3)
◽
pp. 633-654
◽
2009 ◽
Vol 2009
◽
pp. 1-8
◽
2014 ◽
Vol 2
(7)
◽
pp. 83-87
2019 ◽
Vol 1
(1)
◽
pp. 1-18