Book of Donmon Teith

This book summarizes current knowledge regarding the theory of estimation for semiparametric models with missing data, in an organized and comprehensive manner.

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

This book is the first systematic treatment of Bayesian nonparametric methods and the theory behind them. It will also appeal to statisticians in general. The b

The principal focus here is on autoregressive moving average models and analogous random fields, with probabilistic and statistical questions also being discuss

This is the second edition of a coherent introduction to the subject of asymptotic statistics as it has developed over the past 50 years. It differs from the fi