Описание: 1.Lossless Coding.- 2.Universal Coding on Finite Alphabets.- 3.Universal Coding on Infinite Alphabets.- 4.Model Order Estimation.- Notation.- Index.
Автор: S?derstr?m Название: Errors-in-Variables Methods in System Identification ISBN: 3319750003 ISBN-13(EAN): 9783319750002 Издательство: Springer Рейтинг: Цена: 20733.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents an overview of the different errors-in-variables (EIV) methods that can be used for system identification.
Автор: ByoungSeon Choi Название: ARMA Model Identification ISBN: 1461397472 ISBN-13(EAN): 9781461397472 Издательство: Springer Рейтинг: Цена: 6097.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The main topics covered include: Box-Jenkins` method, inverse autocorrelation functions, penalty function identification such as AIC, BIC techniques and Hannan and Quinn`s method, instrumental regression, and a range of pattern identification methods.
Автор: Izak Bos; Peter Caligari Название: Selection Methods in Plant Breeding ISBN: 9048176166 ISBN-13(EAN): 9789048176168 Издательство: Springer Рейтинг: Цена: 25075.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Written for plant breeders, researchers and post-graduate students, this excellent new book provides a comprehensive review of the methods and underlying theoretical foundations used for selection in plant breeding programs.
Описание: The textbook on analysis and visualization of social networks that integrates theory, applications, and professional software for performing network analysis. Pajek software and datasets for all examples are freely available, so the reader can learn network analysis by doing it. Each chapter offers case studies for practicing network analysis.
Автор: Antonio Aznar Grasa Название: Econometric Model Selection ISBN: 904814051X ISBN-13(EAN): 9789048140510 Издательство: Springer Рейтинг: Цена: 20733.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book proposes a new methodology for the selection of one (model) from among a set of alternative econometric models.
Автор: Ando, Tomohiro Название: Bayesian Model Selection and Statistical Modeling ISBN: 0367383977 ISBN-13(EAN): 9780367383978 Издательство: Taylor&Francis Рейтинг: Цена: 10411.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Along with many practical applications, Bayesian Model Selection and Statistical Modeling presents an array of Bayesian inference and model selection procedures. It thoroughly explains the concepts, illustrates the derivations of various Bayesian model selection criteria through examples, and provides R code for implementation.
The author shows how to implement a variety of Bayesian inference using R and sampling methods, such as Markov chain Monte Carlo. He covers the different types of simulation-based Bayesian model selection criteria, including the numerical calculation of Bayes factors, the Bayesian predictive information criterion, and the deviance information criterion. He also provides a theoretical basis for the analysis of these criteria. In addition, the author discusses how Bayesian model averaging can simultaneously treat both model and parameter uncertainties.
Selecting and constructing the appropriate statistical model significantly affect the quality of results in decision making, forecasting, stochastic structure explorations, and other problems. Helping you choose the right Bayesian model, this book focuses on the framework for Bayesian model selection and includes practical examples of model selection criteria.
Описание: The textbook on analysis and visualization of social networks that integrates theory, applications, and professional software for performing network analysis. Pajek software and datasets for all examples are freely available, so the reader can learn network analysis by doing it. Each chapter offers case studies for practicing network analysis.
Автор: Cattaneo, Matias D. (university Of Michigan, Ann Arbor) Idrobo, Nicolas (university Of Michigan, Ann Arbor) Titiunik, Rocio (university Of Michigan, A Название: Elements in quantitative and computational methods for the social sciences ISBN: 1108710204 ISBN-13(EAN): 9781108710206 Издательство: Cambridge Academ Рейтинг: Цена: 2851.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: An accessible and practical guide for the analysis and interpretation of regression discontinuity (RD) designs. The focus is on the canonical sharp RD setup that has the following features: (i) the score is continuously distributed and has only one dimension, (ii) there is only one cutoff, and (iii) compliance with the treatment assignment is perfect.
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