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. Author manuscript; available in PMC: 2008 Oct 10.
Published in final edited form as: Stat Interface. 2008;1(1):169–178. doi: 10.4310/sii.2008.v1.n1.a14

Table 7.

Comparison of Parameter Estimates Between the Simplied Method and the Quasi-Newton Algorithm when the Response is 6-Dimensional (1000 Replications)

True Value N=300 N=400
Simplified Method Quasi-Newton Simplified Method Quasi-Newton
Estimate S.E. Estimate S.E. Estimate S.E. Estimate S.E.
ψ11 −.75 −0.72 0.50 −0.62 0.34 −0.72 0.43 −0.60 0.30
ψ12 −1. −0.99 0.47 −0.99 0.35 −1.00 0.40 0.98 0.30
ψ21 −.75 −0.70 0.47 −0.60 0.31 −0.70 0.41 −0.59 0.27
ψ22 −1. −1.00 0.38 −0.99 0.28 −1.00 0.33 0.99 0.24
ψ31 −.75 −0.71 0.47 −0.61 0.31 −0.71 0.40 −0.60 0.26
ψ32 −1. −1.00 0.33 −0.98 0.24 −1.00 0.28 −0.98 0.21
ψ41 −.75 −0.71 0.46 −0.61 0.30 −0.71 0.39 −0.60 0.26
ψ42 −1. −1.01 0.33 −0.99 0.24 −1.01 0.28 −0.99 0.21
ψ51 −.75 −0.69 0.47 −0.59 0.32 −0.70 0.41 −0.60 0.27
ψ52 −1. −1.01 0.38 −0.99 0.28 −1.00 0.32 −0.98 0.24
ψ61 −.75 −0.70 0.49 −0.60 0.33 −0.70 0.42 −0.59 0.29
ψ62 −1. −1.02 0.46 −1.01 0.36 −1.02 0.39 −1.00 0.30
θ11 0.25 0.24 0.14 0.22 0.07 0.24 0.12 0.21 0.06
θ12 0.25 0.26 0.12 0.26 0.09 0.26 0.10 0.25 0.08
θ21 0.25 0.25 0.12 0.25 0.09 0.25 0.10 0.25 0.08
θ22 0.25 0.25 0.07 0.25 0.07 0.25 0.06 0.25 0.06