When calibrating an estimation model, you should try to find a realistic set of parameters for the model that produces acceptably small variations between estimated values and actual values for completed projects. a. What is an “acceptably small†variation? b. What is the meaning of “a realistic set of parameters?â€
Solution
a) If the values has absolute uniform values (uniformly distributed) so that there will be slight changes between values, then it is considered as acceptably small variation.
-------------------------------------------------------------------------------------------------------------------------------------------------------------
b) Realistic set of parametres are considered as values which has specific bound to calculate.
eg: count of stars is not realistic parameter.. since they are infinite
10 pens is realistic parameter.
.
Measures of Central Tendency: Mean, Median and Mode
When calibrating an estimation model- you should try to find a realist.docx
1. When calibrating an estimation model, you should try to find a realistic set of parameters for the
model that produces acceptably small variations between estimated values and actual values for
completed projects. a. What is an “acceptably small― variation? b. What is the meaning of
“a realistic set of parameters?―
Solution
a) If the values has absolute uniform values (uniformly distributed) so that there will be slight
changes between values, then it is considered as acceptably small variation.
---------------------------------------------------------------------------------------------------------------------
----------------------------------------
b) Realistic set of parametres are considered as values which has specific bound to calculate.
eg: count of stars is not realistic parameter.. since they are infinite
10 pens is realistic parameter.
