Where appropriate, linear regression with one explanatory variable can be performed through the o...
Where appropriate, linear regression with one explanatory variable can be performed through the origin', that is, with the intercept α fixed equal to zero. The log-likelihood in this reduced model is So(B) 1(8, o)-constant-n log ơ--2 where 7 (by setting α = 0 in Equations (11.5) and (11.6) in subsection 2.1 of Unit 11). Solve the equation dS。(β)/dd = 0 to provide the candidate value fy for the value of β that minimises So(1) (it can be confirmed that β thus found is the MLE for β but you need not do so.) choose the
Where appropriate, linear regression with one explanatory variable can be performed through the origin', that is, with the intercept α fixed equal to zero. The log-likelihood in this reduced model is So(B) 1(8, o)-constant-n log ơ--2 where 7 (by setting α = 0 in Equations (11.5) and (11.6) in subsection 2.1 of Unit 11). Solve the equation dS。(β)/dd = 0 to provide the candidate value fy for the value of β that minimises So(1) (it can be confirmed that β thus found is the MLE for β but you need not do so.) choose the