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.
Автор: Daniel Sorensen; Daniel Gianola Название: Likelihood, Bayesian, and MCMC Methods in Quantitative Genetics ISBN: 1441929975 ISBN-13(EAN): 9781441929976 Издательство: Springer Рейтинг: Цена: 26120.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book, suitable for numerate biologists and for applied statisticians, provides the foundations of likelihood, Bayesian and MCMC methods in the context of genetic analysis of quantitative traits.
Автор: Ole E Barndorff-Nielsen Название: Parametric Statistical Models and Likelihood ISBN: 0387969284 ISBN-13(EAN): 9780387969282 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A few preliminaries 2 1. Likelihood and auxiliary statistics 1. Likelihood 4 1. Moments and cumulants of log likelihood derivatives 10 1. Marginal and conditional likelihood 15 * 1. Combinants, auxiliaries, and the p -model 19 1. Pseudo likelihood, profile likelihood and modified 30 profile likelihood 1.
Автор: Nico J.D. Nagelkerke Название: Maximum Likelihood Estimation of Functional Relationships ISBN: 038797721X ISBN-13(EAN): 9780387977218 Издательство: Springer Рейтинг: Цена: 16070.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The theory of functional relationships concerns itself with inference from models with a more complex error structure than those existing in regression models. In this monograph we will explore the properties of likelihood methods in the context of functional relationship models.
Описание: Topics include Bayesian updating, conjugate and reference priors, Bayesian point and interval estimates, Bayesian asymptotics and empirical Bayes methods.
Автор: Paul P. Eggermont; Vincent N. LaRiccia Название: Maximum Penalized Likelihood Estimation ISBN: 1461417120 ISBN-13(EAN): 9781461417125 Издательство: Springer Рейтинг: 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.
Автор: Clive Loader Название: Local Regression and Likelihood ISBN: 1475772580 ISBN-13(EAN): 9781475772586 Издательство: Springer Рейтинг: Цена: 22359.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Separation of signal from noise is the most fundamental problem in data analysis, arising in such fields as: signal processing, econometrics, actuarial science, and geostatistics. This book introduces the local regression method in univariate and multivariate settings, with extensions to local likelihood and density estimation.
Автор: Christopher C. Heyde Название: Quasi-Likelihood And Its Application ISBN: 1475771045 ISBN-13(EAN): 9781475771046 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The first account in book form of all the essential features of the quasi-likelihood methodology, stressing its value as a general purpose inferential tool.
Автор: Schweder Название: Confidence, Likelihood, Probability ISBN: 0521861608 ISBN-13(EAN): 9780521861601 Издательство: Cambridge Academ Рейтинг: 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.
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