Site pages
Current course
Participants
General
18 February - 24 February
25 February - 3 March
4 March - 10 March
11 March - 17 March
18 March - 24 March
25 March - 31 March
1 April - 7 April
8 April - 14 April
15 April - 21 April
22 April - 28 April
3.5.Unbiased Estimator
Unit 3 - Estimation
3.5.Unbiased EstimatorAn estimator is said to be unbiased if the average of all values taken by the estimator is equal to the population parameter
For example: Sample mean is an unbiased estimator population mean because average of all means of samples of same size taken from a population is equal to the population mean.
Similarly, Sample proportion is the unbiased estimator of population proportion and Sample variance is the unbiased estimator of population variance.
Note :
Sample variance is given by,
Last modified: Monday, 12 September 2011, 9:44 AM