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Empirical likelihood method in survival analysis, Zhou, Mai


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Цена: 9798.00р.
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Автор: Zhou, Mai
Название:  Empirical likelihood method in survival analysis
ISBN: 9780367377571
Издательство: Taylor&Francis
Классификация:

ISBN-10: 0367377578
Обложка/Формат: Paperback
Страницы: 220
Вес: 0.41 кг.
Дата издания: 05.09.2019
Язык: English
Размер: 155 x 234 x 20
Читательская аудитория: Tertiary education (us: college)
Рейтинг:
Поставляется из: Европейский союз
Описание:

Add the Empirical Likelihood to Your Nonparametric Toolbox



Empirical Likelihood Method in Survival Analysis explains how to use the empirical likelihood method for right censored survival data. The author uses R for calculating empirical likelihood and includes many worked out examples with the associated R code. The datasets and code are available for download on his website and CRAN.





The book focuses on all the standard survival analysis topics treated with empirical likelihood, including hazard functions, cumulative distribution functions, analysis of the Cox model, and computation of empirical likelihood for censored data. It also covers semi-parametric accelerated failure time models, the optimality of confidence regions derived from empirical likelihood or plug-in empirical likelihood ratio tests, and several empirical likelihood confidence band results.





While survival analysis is a classic area of statistical study, the empirical likelihood methodology has only recently been developed. Until now, just one book was available on empirical likelihood and most statistical software did not include empirical likelihood procedures. Addressing this shortfall, this book provides the functions to calculate the empirical likelihood ratio in survival analysis as well as functions related to the empirical likelihood analysis of the Cox regression model and other hazard regression models.




Statistical Modelling of Survival Data with Random Effects

Автор: Il Do Ha; Jong-Hyeon Jeong; Youngjo Lee
Название: Statistical Modelling of Survival Data with Random Effects
ISBN: 9811065551 ISBN-13(EAN): 9789811065552
Издательство: Springer
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Цена: 16769.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book provides a groundbreaking introduction to the likelihood inference for correlated survival data via the hierarchical (or h-) likelihood in order to obtain the (marginal) likelihood and to address the computational difficulties in inferences and extensions.

Maximum Penalized Likelihood Estimation

Автор: Paul P. Eggermont; Vincent N. LaRiccia
Название: Maximum Penalized Likelihood Estimation
ISBN: 1461417120 ISBN-13(EAN): 9781461417125
Издательство: Springer
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Цена: 23058.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Ideal for researchers and practitioners in statistics and industrial mathematics, this book covers the theory and practice of nonparametric estimation. It is novel in its use of maximum penalized likelihood estimation and convex minimization problem theory.

Maximum Penalized Likelihood Estimation

Автор: P.P.B. Eggermont; V.N. LaRiccia
Название: Maximum Penalized Likelihood Estimation
ISBN: 1441929282 ISBN-13(EAN): 9781441929280
Издательство: Springer
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Цена: 25853.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book deals with parametric and nonparametric density estimation from the maximum (penalized) likelihood point of view, including estimation under constraints.

Empirical Likelihood

Автор: Owen
Название: Empirical Likelihood
ISBN: 1584880716 ISBN-13(EAN): 9781584880714
Издательство: Taylor&Francis
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Цена: 20671.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Applies empirical likelihood method to problems ranging from those as simple as setting a confidence region for a univariate mean under IID sampling, to problems defined through smooth functions of means, regression models, generalized linear models, estimating equations, or kernel smooths, and to sampling with non-identically distributed data.

Empirical Likelihood Methods in Biomedicine and Health

Автор: Vexler, Albert
Название: Empirical Likelihood Methods in Biomedicine and Health
ISBN: 1032401818 ISBN-13(EAN): 9781032401812
Издательство: Taylor&Francis
Рейтинг:
Цена: 7348.00 р.
Наличие на складе: Поставка под заказ.

Statistical Modelling of Survival Data with Random Effects

Автор: Il Do Ha; Jong-Hyeon Jeong; Youngjo Lee
Название: Statistical Modelling of Survival Data with Random Effects
ISBN: 9811349010 ISBN-13(EAN): 9789811349010
Издательство: Springer
Рейтинг:
Цена: 20962.00 р.
Наличие на складе: Поставка под заказ.

Описание: This book provides a groundbreaking introduction to the likelihood inference for correlated survival data via the hierarchical (or h-) likelihood in order to obtain the (marginal) likelihood and to address the computational difficulties in inferences and extensions.

Generalized Linear Models with Random Effects

Автор: Lee, Youngjo (Seoul National University, South Korea) Nelder, John A. Pawitan, Yudi (Karolinska Institute, Stockholm, Sweden)
Название: Generalized Linear Models with Random Effects
ISBN: 1032096632 ISBN-13(EAN): 9781032096636
Издательство: Taylor&Francis
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Цена: 7501.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This is the second edition of a monograph on generalized linear models with random effects that extends the classic work of McCullagh and Nelder. It has been thoroughly updated, with around 80 pages added, including new material on the extended likelihood approach that strengthens the theoretical basis of the methodology, new developments in var

Meta-analysis of Binary Data Using Profile Likelihood

Автор: Bohning, Dankmar
Название: Meta-analysis of Binary Data Using Profile Likelihood
ISBN: 1584886307 ISBN-13(EAN): 9781584886303
Издательство: Taylor&Francis
Рейтинг:
Цена: 24499.00 р.
Наличие на складе: Поставка под заказ.

Tools for Statistical Inference

Автор: Martin A. Tanner
Название: Tools for Statistical Inference
ISBN: 0387946888 ISBN-13(EAN): 9780387946887
Издательство: Springer
Рейтинг:
Цена: 13969.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book provides a unified introduction to a variety of computational algorithms for likelihood and Bayesian inference. The third edition expands the discussion of many of the techniques discussed, includes additional examples, and adds exercise sets at the end of each chapter.

Introductory Statistical Inference with the Likelihood Function

Автор: Charles A. Rohde
Название: Introductory Statistical Inference with the Likelihood Function
ISBN: 3319374818 ISBN-13(EAN): 9783319374819
Издательство: Springer
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Цена: 8384.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This textbook covers the fundamentals of statistical inference and statistical theory including Bayesian and frequentist approaches and methodology possible without excessive emphasis on the underlying mathematics. The likelihood function is used for pure likelihood inference throughout the book.

Confidence, Likelihood, Probability

Автор: Schweder
Название: Confidence, Likelihood, Probability
ISBN: 0521861608 ISBN-13(EAN): 9780521861601
Издательство: Cambridge Academ
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Цена: 12514.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This is the first book to develop a methodology of confidence distributions, with a lively mix of theory, illustrations, applications and exercises.

Maximum Penalized Likelihood Estimation

Автор: P.P.B. Eggermont; V.N. LaRiccia
Название: Maximum Penalized Likelihood Estimation
ISBN: 0387952683 ISBN-13(EAN): 9780387952680
Издательство: Springer
Рейтинг:
Цена: 25853.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Deals with parametric and nonparametric density estimation from the maximum (penalized) likelihood point of view, including estimation under constraints such as unimodality and log-concavity. This book focuses on convexity and convex optimization, as applied to maximum penalized likelihood estimation.


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