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Extending the linear model with r, Faraway, Julian J. (university Of Bath, United Kingdom)


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Цена: 14086.00р.
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Автор: Faraway, Julian J. (university Of Bath, United Kingdom)
Название:  Extending the linear model with r
ISBN: 9781498720960
Издательство: Taylor&Francis
Классификация:
ISBN-10: 149872096X
Обложка/Формат: Hardback
Страницы: 414
Вес: 0.80 кг.
Дата издания: 24.03.2016
Серия: Chapman & hall/crc texts in statistical science
Язык: English
Издание: 2 ed
Иллюстрации: 6 tables, black and white; 115 illustrations, black and white
Размер: 163 x 242 x 26
Подзаголовок: Generalized linear, mixed effects and nonparametric regression models, second edition
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Поставляется из: Европейский союз


      Старое издание

Extending R

Автор: Chambers
Название: Extending R
ISBN: 1498775713 ISBN-13(EAN): 9781498775717
Издательство: Taylor&Francis
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Цена: 10104.00 р.
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

The Linear Model and Hypothesis

Автор: George Seber
Название: The Linear Model and Hypothesis
ISBN: 3319219294 ISBN-13(EAN): 9783319219295
Издательство: Springer
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Цена: 11878.00 р.
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.

Linear Model Theory: Exercises and Solutions

Автор: Zimmerman Dale L.
Название: Linear Model Theory: Exercises and Solutions
ISBN: 3030520765 ISBN-13(EAN): 9783030520762
Издательство: Springer
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Цена: 12577.00 р.
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.

The Linear Model and Hypothesis

Автор: George Seber
Название: The Linear Model and Hypothesis
ISBN: 3319349171 ISBN-13(EAN): 9783319349176
Издательство: Springer
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Цена: 9781.00 р.
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.

Statistics for the social sciences

Автор: Warne, Russell T. (utah Valley University)
Название: Statistics for the social sciences
ISBN: 1108841570 ISBN-13(EAN): 9781108841573
Издательство: Cambridge Academ
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Цена: 13939.00 р.
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.

Linear Model Methodology

Автор: Khuri, Andre I.
Название: Linear Model Methodology
ISBN: 1584884819 ISBN-13(EAN): 9781584884811
Издательство: Taylor&Francis
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Цена: 24499.00 р.
Наличие на складе: Нет в наличии.

Statistics for the social sciences

Автор: Warne, Russell T.
Название: Statistics for the social sciences
ISBN: 1108814506 ISBN-13(EAN): 9781108814508
Издательство: Cambridge Academ
Рейтинг:
Цена: 9978.00 р.
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.

Linear Model Theory: With Examples and Exercises

Автор: Zimmerman Dale L.
Название: Linear Model Theory: With Examples and Exercises
ISBN: 303052065X ISBN-13(EAN): 9783030520656
Издательство: Springer
Рейтинг:
Цена: 12577.00 р.
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.

Linear model theory

Автор: Zimmerman, Dale L.
Название: Linear model theory
ISBN: 3030520625 ISBN-13(EAN): 9783030520625
Издательство: Springer
Рейтинг:
Цена: 12577.00 р.
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.

General linear model

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
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Цена: 3642.00 р.
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.

Regression, ANOVA, and the General Linear Model

Название: Regression, ANOVA, and the General Linear Model
ISBN: 1412997356 ISBN-13(EAN): 9781412997355
Издательство: Sage Publications
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Цена: 21067.00 р.
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Описание: The author demonstrates basic statistical concepts from two different perspectives, giving the reader a conceptual understanding of how to interpret statistics and their use

First Course In Linear Model Theory

Автор: Ravishanker
Название: First Course In Linear Model Theory
ISBN: 1439858055 ISBN-13(EAN): 9781439858059
Издательство: Taylor&Francis
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Цена: 13779.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This second edition features several new topics that are extremely relevant to the current research in statistical methodology. Revised or expanded topics include analysis of covariance, Bayesian linear and generalized linear model, nonlinear regression, among others.


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