Hey Voilstone and welcome to the forums.I do not really understand what is an unbiased estimator during my statistic studies ~~ THANKS ~~
Thanks , i am still new here .Hey Voilstone and welcome to the forums.
Of course, we want estimators that are unbiased because statistically they will give us an estimate that is close to what it should be.
The estimator is a function of a sample. Since each observation in the sample comes from the same distribution, we consider each observation to be the realization of a random variable that corresponds to the true distribution. We also consider that each observation is independent: this simplifies many things like variance because independent samples have no covariance terms which means we can add variances very easily (You will see results like this later).Thanks , i am still new here .
since unbiased estimator = mean/paramete , we want it to be close to the mean for what purposes ??
First, do you understand what an estimator is? In particular, do you understand that an estimator is a random variable ? (It is not generally a single number like 2.38. )I do not really understand what is an unbiased estimator during my statistic studies ~~ THANKS ~~