Efficient and Adaptive Estimation for Semiparametric Models
Springer New York, Jun 1, 1998 - Mathematics - 588 pages
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 data set. Such models have arisen in a wide context in recent years, and involve new nonlinear estimation procedures. Statistical models of this type are directly applicable to fields such as economics, epidemiology, and astronomy.