Abstract
Approximations based on Bernstein polynomials are used for smoothing a sample quantile function and estimating the underlying distribution and its characteristics. 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. Bibliography: 10 titles.
Full Text 
Sign-in/Register to access full text options
Sign-in/Register to access full text options 
Paper version not known
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
