Recent advances in linear models and related areas,
Автор: Fr?d?ric Ferraty Название: Recent Advances in Functional Data Analysis and Related Topics ISBN: 3790828335 ISBN-13(EAN): 9783790828337 Издательство: Springer Рейтинг: Цена: 25853.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The failure of standard multivariate statistics to analyze such functional data has led the statistical community to develop appropriate statistical methodologies, called Functional Data Analysis (FDA).
Автор: Jun Ma; Mark Wohar Название: Recent Advances in Estimating Nonlinear Models ISBN: 1461480590 ISBN-13(EAN): 9781461480594 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Featuring current research in economics, finance and management, this book surveys nonlinear estimation techniques and offers new methods and insights into nonlinear time series analysis. Covers Markov Switching Models for analyzing economics series and more.
Автор: Jun Ma; Mark Wohar Название: Recent Advances in Estimating Nonlinear Models ISBN: 1493952595 ISBN-13(EAN): 9781493952595 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Featuring current research in economics, finance and management, this book surveys nonlinear estimation techniques and offers new methods and insights into nonlinear time series analysis. Covers Markov Switching Models for analyzing economics series and more.
Автор: Faraway Julian J Название: Linear models with R ISBN: 1439887330 ISBN-13(EAN): 9781439887332 Издательство: Taylor&Francis Рейтинг: Цена: 13779.00 р. Наличие на складе: Поставка под заказ.
Описание:
A Hands-On Way to Learning Data Analysis
Part of the core of statistics, linear models are used to make predictions and explain the relationship between the response and the predictors. Understanding linear models is crucial to a broader competence in the practice of statistics. Linear Models with R, Second Edition explains how to use linear models in physical science, engineering, social science, and business applications. The book incorporates several improvements that reflect how the world of R has greatly expanded since the publication of the first edition.
New to the Second Edition
Reorganized material on interpreting linear models, which distinguishes the main applications of prediction and explanation and introduces elementary notions of causality
Additional topics, including QR decomposition, splines, additive models, Lasso, multiple imputation, and false discovery rates
Extensive use of the ggplot2 graphics package in addition to base graphics
Like its widely praised, best-selling predecessor, this edition combines statistics and R to seamlessly give a coherent exposition of the practice of linear modeling. The text offers up-to-date insight on essential data analysis topics, from estimation, inference, and prediction to missing data, factorial models, and block designs. Numerous examples illustrate how to apply the different methods using R.
Описание: Offers a cohesive framework for statistical modeling. Emphasizing numerical and graphical methods, this work enables readers to understand the unifying structure that underpins GLMs. It discusses common concepts and principles of advanced GLMs, including nominal and ordinal regression, survival analysis, and longitudinal analysis.
Описание: This volume presents results in stochastic manufacturing systems. It focuses on optimal production planning, scheduling and improvability, and approximate optimality and robustness.
Автор: William E. Hart; Natalio Krasnogor; J.E. Smith Название: Recent Advances in Memetic Algorithms ISBN: 3642061761 ISBN-13(EAN): 9783642061769 Издательство: Springer Рейтинг: Цена: 27251.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Memetic algorithms are evolutionary algorithms that apply a local search process to refine solutions to hard problems.
Автор: Johannes Jahn; Werner Krabs Название: Recent Advances and Historical Development of Vector Optimization ISBN: 3540182152 ISBN-13(EAN): 9783540182153 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In vector optimization one investigates optimization problems in an abstract setting which have a not necessarily real-valued objective function. This meeting was an interdisciplinary forum devoted to new results in the theory, to applications as well as to the solution of vector optimization problems which are relevant in practice.
Автор: John S. Baras; Vincent Mirelli Название: Recent Advances in Stochastic Calculus ISBN: 1461279992 ISBN-13(EAN): 9781461279990 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume includes the material presented in the Distinguished Lecture Series on Stochastic Calculus at the Systems Research Center of the University of Maryland at College Park in 1987. The topics were selected to cover some of the most important areas for stochastic control, stochastic filtering and stochastic modeling.
Автор: Bruce A. Reed; Claudia L. Linhares-Sales Название: Recent Advances in Algorithms and Combinatorics ISBN: 1468492683 ISBN-13(EAN): 9781468492682 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Excellent authors, such as Lovasz, one of the five best combinatorialists in the world; Thematic linking that makes it a coherent collection; Will appeal to a variety of communities, such as mathematics, computer science and operations research
Автор: James D. Hamilton; Baldev Raj Название: Advances in Markov-Switching Models ISBN: 3642511848 ISBN-13(EAN): 9783642511844 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is a collection of state-of-the-art papers on the properties of business cycles and financial analysis. Overall, the book provides a state-of-the-art over view of new directions in methods and results for estimation and inference based on the use of Markov-switching time-series analysis.
Описание: Written by leading experts in the field, this volume presents cutting-edge results on specification and estimation of economic models. Advances in asymptotic approximation theory are discussed, as well as the use of various theoretical tools for technique development.
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