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

Table 2

The data used in case study.

Parameter	Value
Learning curve coefficient (1/month)	0.5
BAC	110,000 $
Planned duration (PD)	582 days
Original probability of success (PoS)	0.50
Time of forecasting	7th month
Confidence level	0.95
Learning curve coefficient (1/month)	0.5