Abstract:
Approximations based on the Bernstein polynomials are used for smoothing a sample quantile function and estimating the underlying distribution and its characteristics. The generalized Bernstein-type polynomials
are introduced to reduce the bias of estimation under various types of distributions including finite distributions.
The asymptotic behavior of the expectations of these estimators is studied.