Extending the linear model with r, Faraway, Julian J. (university Of Bath, United Kingdom)
Старое издание
Автор: George Seber Название: The Linear Model and Hypothesis ISBN: 3319349171 ISBN-13(EAN): 9783319349176 Издательство: Springer Рейтинг: Цена: 65210.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book provides a concise and integrated overview of hypothesis testing in four important subject areas, namely linear and nonlinear models, multivariate analysis, and large sample theory.
Автор: Warne, Russell T. (utah Valley University) Название: Statistics for the social sciences ISBN: 1108841570 ISBN-13(EAN): 9781108841573 Издательство: Cambridge Academ Рейтинг: Цена: 92930.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This textbook introduces statistics using the General Linear Model, a method that shows the interconnections among statistical concepts. The second edition is for undergraduate social science majors in a one-semester statistics course and provides timely updates, building on the success of the first edition.
Автор: Chambers Название: Extending R ISBN: 1498775713 ISBN-13(EAN): 9781498775717 Издательство: Taylor&Francis Рейтинг: Цена: 67360.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Up-to-Date Guidance from One of the Foremost Members of the R Core Team
Written by John M. Chambers, the leading developer of the original S software, Extending R covers key concepts and techniques in R to support analysis and research projects. It presents the core ideas of R, provides programming guidance for projects of all scales, and introduces new, valuable techniques that extend R.
The book first describes the fundamental characteristics and background of R, giving readers a foundation for the remainder of the text. It next discusses topics relevant to programming with R, including the apparatus that supports extensions. The book then extends R's data structures through object-oriented programming, which is the key technique for coping with complexity. The book also incorporates a new structure for interfaces applicable to a variety of languages.
A reflection of what R is today, this guide explains how to design and organize extensions to R by correctly using objects, functions, and interfaces. It enables current and future users to add their own contributions and packages to R.
A 2017 Choice Outstanding Academic Title
Автор: George Seber Название: The Linear Model and Hypothesis ISBN: 3319219294 ISBN-13(EAN): 9783319219295 Издательство: Springer Рейтинг: Цена: 79190.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book provides a concise and integrated overview of hypothesis testing in four important subject areas, namely linear and nonlinear models, multivariate analysis, and large sample theory.
Автор: King, Maxwell L. , Giles, David E. A. Название: Specification Analysis in the Linear Model ISBN: 0815350554 ISBN-13(EAN): 9780815350552 Издательство: Taylor&Francis Рейтинг: Цена: 22450.00 T Наличие на складе: Невозможна поставка. Описание: Originally published in 1987. This collection deals with various issues of specification in the context of the linear statistical model. Chapters focus on problems associated with autocorrelation of the error term in the linear regression model and include appraisals of early work on this topic by Cochrane and Orcutt.
Автор: Zimmerman Dale L. Название: Linear Model Theory: Exercises and Solutions ISBN: 3030520765 ISBN-13(EAN): 9783030520762 Издательство: Springer Рейтинг: Цена: 83850.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book contains 296 exercises and solutions covering a wide variety of topics in linear model theory, including generalized inverses, estimability, best linear unbiased estimation and prediction, ANOVA, confidence intervals, simultaneous confidence intervals, hypothesis testing, and variance component estimation.
Автор: Khuri, Andre I. Название: Linear Model Methodology ISBN: 1584884819 ISBN-13(EAN): 9781584884811 Издательство: Taylor&Francis Рейтинг: Цена: 163330.00 T Наличие на складе: Нет в наличии.
Автор: W. Kraemer; H. Sonnberger Название: The Linear Regression Model Under Test ISBN: 3642958788 ISBN-13(EAN): 9783642958786 Издательство: Springer Рейтинг: Цена: 102480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Similar credits are due to Adrian Pagan, Roberto Mariano and Garry Phillips, the econometrics guest professors at the Institute in the 1982 - 1984 period, who through their lectures and advice have contributed greatly to our effort.
Автор: Warne, Russell T. Название: Statistics for the social sciences ISBN: 1108814506 ISBN-13(EAN): 9781108814508 Издательство: Cambridge Academ Рейтинг: Цена: 66520.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This textbook introduces statistics using the General Linear Model, a method that shows the interconnections among statistical concepts. The second edition is for undergraduate social science majors in a one-semester statistics course and provides timely updates, building on the success of the first edition.
Автор: Zimmerman Dale L. Название: Linear Model Theory: With Examples and Exercises ISBN: 303052065X ISBN-13(EAN): 9783030520656 Издательство: Springer Рейтинг: Цена: 83850.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This textbook presents a unified and rigorous approach to best linear unbiased estimation and prediction of parameters and random quantities in linear models, as well as other theory upon which much of the statistical methodology associated with linear models is based.
Автор: Von Eye, Alexander (michigan State University) Wiedermann, Wolfgang (university Of Missouri ) Название: General linear model ISBN: 100932215X ISBN-13(EAN): 9781009322157 Издательство: Cambridge Academ Рейтинг: Цена: 24280.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: General Linear Model methods are the most widely used in data analysis in applied empirical research. Still, there exists no compact text that can be used in statistics courses and as a guide in data analysis. This volume fills this void by introducing the General Linear Model (GLM), whose basic concept is that an observed variable can be explained from weighted independent variables plus an additive error term that reflects imperfections of the model and measurement error. It also covers multivariate regression, analysis of variance, analysis under consideration of covariates, variable selection methods, symmetric regression, and the recently developed methods of recursive partitioning and direction dependence analysis. Each method is formally derived and embedded in the GLM, and characteristics of these methods are highlighted. Real-world data examples illustrate the application of each of these methods, and it is shown how results can be interpreted.
Автор: Zimmerman, Dale L. Название: Linear model theory ISBN: 3030520730 ISBN-13(EAN): 9783030520731 Издательство: Springer Рейтинг: Цена: 83850.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book contains 296 exercises and solutions covering a wide variety of topics in linear model theory, including generalized inverses, estimability, best linear unbiased estimation and prediction, ANOVA, confidence intervals, simultaneous confidence intervals, hypothesis testing, and variance component estimation.
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