Question

short note on biased and unbiased in probability​

Answer 1

Answer:

In statistics, the bias (or bias function) of an estimator is the difference between this estimator's expected value and the true value of the parameter being estimated. An estimator or decision rule with zero bias is called unbiased. ... When a biased estimator is used, bounds of the bias are calculated.