Reference Values
	\({\ A.\ \ \tau}^{2}\) =		0.8
	B. \(\delta^{2}\ \)=		0.0625
(1)	(2)	(3)	(4)	(5)	(6)	(7)	(8)	(9)
Data	Data	Data	To Minimize C.	[((4)-(2))^2]/(3)	(4)-Prev,(4)	To Min. C.	[((7)- Prev.(7)))^2]/B.	[((7)-(6))^2]/A.
Evaluations	Observed		Estimated		Observed		Normalized	Similar
at	Values	Variance	True Value	Normalized	Step-by-Step	Ghost	Ghost Trend	Squared Diff
\[i =\]	\[S_{i}\]	\[\sigma_{i}^{2}\]	\[p_{i}\]	Fit Error	Difference in p’s	Trend	Squared Diff	\(D_{i}\) from \(G_{i}\)
(Data)	(Data)	(Data)	(To minimize \(C\))	\[{(p_{i} - S_{i})}^{2}/\sigma_{i}^{2}\]	\[D_{i} = p_{i} - p_{i - 1}\]	(To min. \(C.\))	\[{(G_{i} - G_{i - 1})}^{2}/\delta^{2}\]	\(\tau^{2}\) normalized
1	10	36	9.038	0.026
2	7	25	9.677	0.287	0.640	0.661		0.001
3	13	4	10.407	1.681	0.730	0.662	0.000	0.006
4	9	1	10.613	2.600	0.205	0.659	0.000	0.257
5	15	4	12.141	2.044	1.528	0.690	0.016	0.878
6	10	16	13.067	0.588	0.926	0.657	0.018	0.091
7	11	16	14.094	0.598	1.027	0.602	0.048	0.226
8	16	1	15.188	0.660	1.094	0.514	0.123	0.420
9	15	36	15.496	0.007	0.309	0.381	0.284	0.007
10	18	4	15.686	1.338	0.190	0.253	0.261	0.005
11	13	36	15.290	0.146	-0.396	0.132	0.236	0.349
12	17	64	14.864	0.071	-0.426	0.050	0.107	0.283
13	14	16	14.373	0.009	-0.491	0.006	0.032	0.309
14	15	4	13.891	0.307	-0.482	0.000	0.000	0.290
15	13	36	13.191	0.001	-0.701	0.000	0.000	0.613
16	9	16	12.489	0.761	-0.702	0.000	0.000	0.616
17	8	16	11.963	0.981	-0.526	0.000	0.000	0.346
18	10	36	11.634	0.074	-0.329	0.000	0.000	0.135
19	11	4	11.342	0.029	-0.291	0.000	0.000	0.106
20	10	4	11.118	0.313	-0.224	0.000	0.000	0.063
	Variance Subtotals			12.521			1.125	4.999
				C. Total Variance		18.645