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Parametric and Semiparametric Models with Applications to Reliability, Survival Analysis, and Quality of Life, Nikulin



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Цена: 18809р.
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Автор: Nikulin
Название:  Parametric and Semiparametric Models with Applications to Reliability, Survival Analysis, and Quality of Life
Издательство: Springer
Классификация:
ISBN: 081763231X
ISBN-13(EAN): 9780817632311
Обложка/Формат: Hardback
Страницы: 596
Вес: 1.35 кг.
Дата издания: 09/08/2004
Серия: Statistical Theory and Methods / Statistics for Industry and Technology
Язык: English
Иллюстрации: 38 black & white illustrations, 25 black & white tables
Размер: 25.40 x 17.78 x 3.33
Читательская аудитория: Professional & VocationalPostgraduate, Research &
Ссылка на Издательство: Link
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Поставляется из: Германии
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.



Semiparametric Regression for the Social Sciences

Название: Semiparametric Regression for the Social Sciences
ISBN: 0470319917 ISBN-13(EAN): 9780470319918
Издательство: Wiley
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Цена: 7017 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

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.

Practical Nonparametric and Semiparametric Bayesian Statistics

Автор: Dey
Название: Practical Nonparametric and Semiparametric Bayesian Statistics
ISBN: 0387985174 ISBN-13(EAN): 9780387985176
Издательство: Springer
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Цена: 17241 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

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.

Introduction to empirical processes and semiparametric inference

Автор: Kosorok, Michael R.
Название: Introduction to empirical processes and semiparametric inference
ISBN: 0387749772 ISBN-13(EAN): 9780387749778
Издательство: Springer
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Цена: 15674 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

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.

Semiparametric Methods in Econometrics

Автор: Horowitz
Название: Semiparametric Methods in Econometrics
ISBN: 0387984771 ISBN-13(EAN): 9780387984773
Издательство: Springer
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Цена: 14629 р.
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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.

Semiparametric Theory and Missing Data

Автор: Anastasios Tsiatis
Название: Semiparametric Theory and Missing Data
ISBN: 1441921850 ISBN-13(EAN): 9781441921857
Издательство: Springer
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Цена: 17241 р.
Наличие на складе: 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.

Semiparametric Regression

Автор: David Ruppert
Название: Semiparametric Regression
ISBN: 0521785162 ISBN-13(EAN): 9780521785167
Издательство: Cambridge Academ
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Цена: 4945 р.
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Описание: Semiparametric regression is concerned with the flexible incorporation of non-linear functional relationships in regression analyses. Any application area that benefits from regression analysis can also benefit from semiparametric regression. Assuming only a basic familiarity with ordinary parametric regression, this user-friendly book explains the techniques and benefits of semiparametric regression in a concise and modular fashion. The authors make liberal use of graphics and examples plus case studies taken from environmental, financial, and other applications. They include practical advice on implementation and pointers to relevant software. The book is suitable as a textbook for students with little background in regression as well as a reference book for statistically oriented scientists such as biostatisticians, econometricians, quantitative social scientists, epidemiologists, with a good working knowledge of regression and the desire to begin using more flexible semiparametric models. Even experts on semiparametric regression should find something new here.

Semiparametric Regression

Автор: Ruppert
Название: Semiparametric Regression
ISBN: 0521780500 ISBN-13(EAN): 9780521780506
Издательство: Cambridge Academ
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Цена: 10699 р.
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Описание: This user-friendly 2003 book explains the techniques and benefits of semiparametric regression in a concise and modular fashion.

Semiparametric Modeling of Implied Volatility

Автор: Fengler Matthias R.
Название: Semiparametric Modeling of Implied Volatility
ISBN: 3540262342 ISBN-13(EAN): 9783540262343
Издательство: Springer
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Цена: 6269 р.
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Описание: The implied volatility surface is a key financial variable for the pricing and the risk management of plain vanilla and exotic options portfolios alike. Consequently, statistical models of the implied volatility surface are of immediate importance in practice: they may appear as estimates of the current surface or as fully specified dynamic models describing its propagation through space and time.This book fills a gap in the financial literature by bringing together both recent advances in the theory of implied volatility and refined semiparametric estimation strategies and dimension reduction methods for functional surfaces: the first part of the book is devoted to smile-consistent pricing appoaches. The theory of implied and local volatility is presented concisely, and vital smile-consistent modeling approaches such as implied trees, mixture diffusion, or stochastic implied volatility models are discussed in detail. The second part of the book familiarizes the reader with estimation techniques that are natural candidates to meet the challenges in implied volatility modeling, such as the rich functional structure of observed implied volatility surfaces and the necessity for dimension reduction: non- and semiparametric smoothing techniques.The book introduces Nadaraya-Watson, local polynomial and least squares kernel smoothing, and dimension reduction methods such as common principle components, functional principle components models and dynamic semiparametric factor models. Throughout, most methods are illustrated with empirical investigations, simulations and pictures.

The Oxford Handbook of Applied Nonparametric and Semiparametric Econometrics and Statistics

Автор: Racine, Jeffrey; Su, Liangjun; Ullah, Aman
Название: The Oxford Handbook of Applied Nonparametric and Semiparametric Econometrics and Statistics
ISBN: 0199857946 ISBN-13(EAN): 9780199857944
Издательство: Oxford Academ
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Цена: 14380 р.
Наличие на складе: Поставка под заказ.

Описание: This volume, edited by Jeffrey Racine, Liangjun Su, and Aman Ullah, contains the latest research on nonparametric and semiparametric econometrics and statistics. Chapters by leading international econometricians and statisticians highlight the interface between econometrics and statistical methods for nonparametric and semiparametric procedures.

Efficient and Adaptive Estimation for Semiparametric Models

Автор: Bickel
Название: Efficient and Adaptive Estimation for Semiparametric Models
ISBN: 0387984739 ISBN-13(EAN): 9780387984735
Издательство: Springer
Цена: 11494 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: "Efficient and Adaptive Estimation for Semiparametric Models".

Nonparametric and Semiparametric Models

Автор: H?rdle
Название: Nonparametric and Semiparametric Models
ISBN: 3540207228 ISBN-13(EAN): 9783540207221
Издательство: Springer
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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.

Introduction to Empirical Processes and Semiparametric Inference

Автор: Michael R. Kosorok
Название: Introduction to Empirical Processes and Semiparametric Inference
ISBN: 1441925783 ISBN-13(EAN): 9781441925787
Издательство: Springer
Рейтинг:
Цена: 17241 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Kosorok`s brilliant text provides a self-contained 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.


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