Описание: 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.
Автор: Tsiatis Название: Semiparametric Theory and Missing Data ISBN: 0387324488 ISBN-13(EAN): 9780387324487 Издательство: Springer Рейтинг: Цена: 15674 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book summarizes current knowledge of the theory of estimation for semiparametric models with missing data, applying modern methods to missing, censored, and coarsened data with the goal of deriving estimators that are as robust and efficient as possible.
Описание: Presents an introduction to empirical processes and semi parametric inference. This book is suitable for 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 semi parametric inference.
Автор: H?rdle Название: Nonparametric and Semiparametric Models ISBN: 3540207228 ISBN-13(EAN): 9783540207221 Издательство: Springer Рейтинг: Цена: 16196 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The concept of nonparametric smoothing is a central idea in statistics that aims to simultaneously estimate and modes the underlying structure. This book aims to present the statistical and mathematical principles of smoothing with a focus on applicable techniques.
Описание: Parametric and semiparametric models are tools with a wide range of applications to reliability, survival analysis, and quality of life. This self-contained volume
examines these tools in survey articles written by experts currently working on the development and evaluation of models and methods. While a number of chapters deal with general
theory, several explore more specific connections and recent results in "real-world" reliability theory, survival analysis, and related fields.
Описание: Nonparametric and semiparametric statistical methods are attractive to researchers in a large number of fields, including pharmaceuticals, medical and public health centers, financial institutions, and environmental monitoring centers. This volume presents both the theoretical and applied aspects of these methods.
Автор: Horowitz Название: Semiparametric Methods in Econometrics ISBN: 0387984771 ISBN-13(EAN): 9780387984773 Издательство: Springer Рейтинг: Цена: 14629 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: During the 1980s and 1990s, much research has been carried out on semiparametric econometric models that are relevant to empirical economics. This text synthesizes the results that have been achieved for five classes of these models.
Описание: "Efficient and Adaptive Estimation for Semiparametric Models".
Автор: Sperlich Stefan, HГ¤rdle Wolfgang, Aydinli GГ¶khan Название: The Art of Semiparametrics ISBN: 3790817007 ISBN-13(EAN): 9783790817003 Издательство: Springer Рейтинг: Цена: 12539 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This selection of articles has emerged from different works presented at the conference "The Art of Semiparametrics" celebrated in 2003 in Berlin. The idea was to bring together junior and senior researchers but also practitioners working on semiparametric statistics in rather different fields. The meeting succeeded in welcoming a group that presents a broad range of areas where research on, respectively with, semiparametric methods is going on. It contains mathematical statistics, econometrics, finance, business statistics, etc. and thus combines theoretical contributions with more applied and partly even empirical studies. Although each article represents an original contribution to its own field, they all are written in a self-contained way to be read also by non-experts of the particular topic. This volume therefore offers a collection of individual works that together show the actual large spectrum of semiparametric statistics.
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