Table 4 Controllability and noise... | Emerald Publishing

Table 4

Controllability and noise conditioning impact on estimation accuracy and bounds

Dim. B	Rank(B)	Cond(B)	Cond(C(A, B))	MSE risk	Est. error	Upper bnd	Lower bnd
(2, 2)	2	1.18	1.11	0.0766	0.0028	0.0243	2.42 × 10^–5
(2, 2)	2	2.34	131.82	0.0078	0.0169	0.0580	3.23 × 10^–5
(2, 2)	2	33.87	8.27	0.1739	0.0036	123.2029	4.87 × 10^–6
(2, 2)	2	25.80	109.71	0.0034	0.0032	25.8779	1.01 × 10^–5
(2, 3)	2	2.40	3.02	0.0061	0.0127	0.0600	3.27 × 10^–5
(2, 3)	1	4.98	8.27	0.0152	0.0032	0.1876	4.10 × 10^–5
(2, 3)	1	2.68	143.65	0.0123	0.0030	0.0702	3.43 × 10^–5
(2, 2)	1	38.77	8.66	0.0634	0.0044	297.3403	3.15 × 10^–6
(2, 2)	1	40.13	124.09	0.2197	0.0021	404.2661	2.75 × 10^–6

Dim. B	Rank(B)	Cond(B)	Cond(C(A, B))	MSE risk	Est. error	Upper bnd	Lower bnd
(2, 2)	2	1.18	1.11	0.0766	0.0028	0.0243	2.42 × 10^–5
(2, 2)	2	2.34	131.82	0.0078	0.0169	0.0580	3.23 × 10^–5
(2, 2)	2	33.87	8.27	0.1739	0.0036	123.2029	4.87 × 10^–6
(2, 2)	2	25.80	109.71	0.0034	0.0032	25.8779	1.01 × 10^–5
(2, 3)	2	2.40	3.02	0.0061	0.0127	0.0600	3.27 × 10^–5
(2, 3)	1	4.98	8.27	0.0152	0.0032	0.1876	4.10 × 10^–5
(2, 3)	1	2.68	143.65	0.0123	0.0030	0.0702	3.43 × 10^–5
(2, 2)	1	38.77	8.66	0.0634	0.0044	297.3403	3.15 × 10^–6
(2, 2)	1	40.13	124.09	0.2197	0.0021	404.2661	2.75 × 10^–6

Source(s): Table by authors