Faithin Omaha eBook Collection

This book deals with estimation in situations in which there is believed to be enough information to model parametrically some, but not all of the features of a

Originating with the 1983 Mathematical Sciences Lectures at Johns Hopkins given by Peter J. Bickel and Jon A. Wellner, this volume is about estimation in situat

Semiparametric regression is concerned with the flexible incorporation of non-linear functional relationships in regression analyses. Any application area that

Parametric and semiparametric models are tools with a wide range of applications to reliability, survival analysis, and quality of life. This self-contained vol

Assume one has to estimate the mean J x P( dx) (or the median of P, or any other functional t;;(P)) on the basis ofi.i.d. observations from P. Ifnothing is know