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(Solved): (b) Let A and D be nonsingular matrices of orders k and m, respectively, B be k\times m, and C be k\ ...



(b) Let

A

and

D

be nonsingular matrices of orders

k

and

m

, respectively,

B

be

k\times m

, and

C

be

k\times m

. Then, provided that the inverses exists

(A+BDC^('))^(-1)=A^(-1)-A^(-1)B(D^(-1)+C^(')A^(-1)B)^(-1)C^(')A^(-1)

. The inverses of the scatter matrices can be expressed as

(x^(')x)^(-1)=(x_((i))^(')x_((i))+x_(i)x_(i)^('))^(-1)

and

(x_((i))^(')x_((i)))^(-1)=(x^(')x-x_(i)x_(i)^('))^(-1)

, where

x_((i))

denotes the design matrix with the

i

th observation deleted. Denote the predicted leverage as

h_(i(i))=x_(i)^(')(x_((i))^(')x_((i)))^(-1)x_(i)

and deduce the relationship between the leverage values

h_(ii)=x_(i)^(')(x^(')x)^(-1)x_(i)

and the predicted leverage

h_(i(i))

, i.e., express

h_(i(i))

as a function of

h_(ii)

. (c) Consider the studentized residuals (

t_(i)^(**)

) and the deleted (externally) studentized residuals

t_(i)

diagnostics. (i) Name the data aberration(s) diagnosed by

t_(i)^(**)

and

t_(i)

, respectively. (ii) Give the respective expression (formula) for

t_(i)^(**)

and

t_(i)

. (iii) Argue which one is a better measure between

t_(i)^(**)

and

t_(i)

. (6)



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