An Improved Performance Measurement Approach for Knowledge-Based Companies Using Kalman Filter Forecasting Method

Table 6

The results of cost estimation for project case study.

Time points (month)	EVM		Real AC-PV values		⁢Fitted AC-PV values		Error square
	ES	AC		-cost AC_PV		LM()
1	3	2,400	0.05	0.05	0.05	0.15	0.00980
2	26	5,853	0.10	0.11	0.10	0.17	0.00310
3	36	15,733	0.15	0.18	0.15	0.19	0.00013
4	78	45,167	0.21	0.22	0.21	0.21	0.00019
5	131	55,783	0.26	0.25	0.26	0.23	0.00063
6	136	60,783	0.31	0.29	0.31	0.25	0.00119
7	196	63,850	0.36	0.32	0.36	0.28	0.00173
8	—	—	0.41	0.35	0.41	0.31	0.00196
9	—	—	0.46	0.39	0.46	0.34	0.00222
10	—	—	0.52	0.42	0.52	0.37	0.00179
11	—	—	0.57	0.45	0.57	0.41	0.00103
12	—	—	0.62	0.48	0.62	0.46	0.00052
13	—	—	0.67	0.50	0.67	0.50	0.00000
14	—	—	0.72	0.52	0.72	0.56	0.00105
15	—	—	0.77	0.55	0.77	0.61	0.00470
16	—	—	0.82	0.58	0.82	0.68	0.00977
17	—	—	0.88	0.65	0.88	0.75	0.00888
18	—	—	0.93	0.90	0.93	0.83	0.00511
19	—	—	0.98	1.00	0.98	0.91	0.00687
20	—	—	1.00	1.00	1.00	1.01	0.00005