Paper 2, Section I, 5J\mathbf{5 J}

Statistical Modelling | Part II, 2018

Consider a linear model Y=Xβ+σ2εY=X \beta+\sigma^{2} \varepsilon with εN(0,I)\varepsilon \sim N(0, I), where the design matrix XX is nn by pp. Provide an expression for the FF-statistic used to test the hypothesis βp0+1=βp0+2==βp=0\beta_{p_{0}+1}=\beta_{p_{0}+2}=\cdots=\beta_{p}=0 for p0<pp_{0}<p. Show that it is a monotone function of a log-likelihood ratio statistic.

Typos? Please submit corrections to this page on GitHub.