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Table 6 Operations required to calculate the correction factor

From: Estimation of genetic connectedness diagnostics based on prediction errors without the prediction error variance–covariance matrix

Step

Component

Number of operations

1

\((\mathbf{X}_1' \mathbf{X}_1)^{-1}\)

\(p_1\)

2

\({\mathbf{X}_1'{} \mathbf{X}_2}{Var}(\hat{{\varvec{\upbeta }}}_2){\mathbf{X}_2'{} \mathbf{X}_1}\)

\(p_1p_2^2+p_1^2p_2\)

3

Multiplying \((\mathbf{X}_1'{} \mathbf{X}_1 )^{-1}\) on both sides of step 2

\(2p_1^2\)

4

\({\mathbf{X}_1'{} \mathbf{X}_2}{Var}(\hat{{\varvec{\upbeta }}}_2, \hat{{\varvec{\upbeta }}}_1)\)

\(p_1^2p_2\)

5

Multiplying \((\mathbf{X}_1'{} \mathbf{X}_1 )^{-1}\) on the left side of step 4

\(p_1^2\)

6

Addition to obtain correction factor for other fixed effects

\(2p_1^2\)

7

Addition of step 6 to \({Var}(\hat{{\varvec{\upbeta }}}_1)\)

\(p_1^2\)

8

Completing PEVMean

\(p_1\)

 

Total calculations

\(2p_1+6p_{1}^{2} +p_1p_2(2p_1+p_2)\)