What does it mean when bias is a function of the estimated parameter?

45 Views Asked by At

I generated random samples from some distribution with known parameter $p$ and then based on the samples estimated the real value of $p$. It turned out that bias, MSE and variance are symmetrical around fixed value of $p$ and because they are non-accidental I suppose that the estimator is biased. Is such conclusion correct?