Author: Luke John Keele
Publisher: Wiley
Keywords: sciences, social, regression, semiparametric
Number of Pages: 230
Published: 2008-03-21
List price: $80.00
ISBN-10: 0470319917
ISBN-13: 9780470319918

An introductory guide to smoothing techniques, semiparametric estimators, and their related methods, this book describes the methodology via a selection of carefully explained examples and data sets. It also demonstrates the potential of these techniques using detailed empirical examples drawn from the social and political sciences. Each chapter includes exercises and examples and there is a supplementary website containing all the datasets used, as well as computer code, allowing readers to replicate every analysis reported in the book. Includes software for implementing the methods in S-Plus

Author: Joel L. Horowitz
Publisher: Springer
Keywords: notes, statistics, lecture, econometrics, methods, semiparametric
Number of Pages: 220
Published: 1998-04-30
List price: $99.00
ISBN-10: 0387984771
ISBN-13: 9780387984773

Many econometric models contain unknown functions as well as finite- dimensional parameters. Examples of such unknown functions are the distribution function of an unobserved random variable or a transformation of an observed variable. Econometric methods for estimating population parameters in the presence of unknown functions are called "semiparametric." During the past 15 years, much research has been carried out on semiparametric econometric models that are relevant to empirical economics. This book synthesizes the results that have been achieved for five important classes of models. The b

Authors:Wolfgang K. Härdle, Marlene Müller, Stefan Sperlich,
Publisher: Springer
Keywords: models, semiparametric, nonparametric
Number of Pages: 300
Published: 2004-05-14
List price: $159.00
ISBN-10: 3540207228
ISBN-13: 9783540207221

The concept of nonparametric smoothing is a central idea in statistics that aims to simultaneously estimate and modes the underlying structure. The book considers high dimensional objects, as density functions and regression. The semiparametric modeling technique compromises the two aims, flexibility and simplicity of statistical procedures, by introducing partial parametric components. These components allow to match structural conditions like e.g. linearity in some variables and may be used to model the influence of discrete variables. The aim of this monograph is to present th

Author: Anastasios Tsiatis
Publisher: Springer
Keywords: series, statistics, springer, data, theory, missing, semiparametric
Number of Pages: 399
Published: 2006-06-21
List price: $99.00
ISBN-10: 0387324488
ISBN-13: 9780387324487

This book summarizes current knowledge regarding the theory of estimation for semiparametric models with missing data, in an organized and comprehensive manner. It starts with the study of semiparametric methods when there are no missing data. The description of the theory of estimation for semiparametric models is both rigorous and intuitive, relying on geometric ideas to reinforce the intuition and understanding of the theory. These methods are then applied to problems with missing, censored, and coarsened data with the goal of deriving estimators that are as robust and efficient as possible

Author: Adonis Yatchew
Publisher: Cambridge University Press
Keywords: modern, econometrics, themes, econometrician, regression, applied, semiparametric
Number of Pages: 236
Published: 2003-06-02
List price: $36.99
ISBN-10: 0521012260
ISBN-13: 9780521012263

Adonis Yatchew provides simple and flexible (nonparametric) techniques for analyzing regression data. He includes a series of empirical examples with the estimation of Engel curves and equivalence scales, scale economies, household gasoline consumption, housing prices, option prices and state price density estimation. The book is of interest to a broad range of economists including those working in industrial organization, labor, development, and urban, energy and financial economics.

Author: Michael R. Kosorok
Publisher: Springer
Keywords: springer, series, statistics, inference, semiparametric, empirical, processes, introduction
Number of Pages: 483
Published: 2008-01-31
List price: $99.00
ISBN-10: 0387749772
ISBN-13: 9780387749778

This book provides a self-contained, linear, and unified introduction to empirical processes and semiparametric inference. These powerful research techniques are surprisingly useful for developing methods of statistical inference for complex models and in understanding the properties of such methods. The targeted audience includes statisticians, biostatisticians, and other researchers with a background in mathematical statistics who have an interest in learning about and doing research in empirical processes and semiparametric inference but who would like to have a friendly and gradual introdu

Authors:David Ruppert, M. P. Wand, R. J. Carroll,
Publisher: Cambridge University Pre
Keywords: probabilistic, mathematics, statistical, series, regression, cambridge, semiparametric
Number of Pages: 402
Published: 2003-07-14
List price: $56.00
ISBN-10: 0521785162
ISBN-13: 9780521785167

Science abounds with problems where the data are noisy and the answer is not a straight line. Semiparametric regression analysis helps make sense of such data in application areas that include engineering, finance, medicine and public health. The book is geared towards researchers and professionals with little background in regression as well as statistically oriented scientists (biostatisticians, econometricians, quantitative social scientists, and epidemiologists) with knowledge of regression and the desire to begin using more flexible semiparametric models.Book DescriptionScience abounds wi