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Circular and Linear Regression, Chernov, Nikolai


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Цена: 132710.00T
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Автор: Chernov, Nikolai
Название:  Circular and Linear Regression
ISBN: 9781439835906
Издательство: Taylor&Francis
Классификация:



ISBN-10: 143983590X
Обложка/Формат: Hardback
Страницы: 286
Вес: 0.53 кг.
Дата издания: 22.06.2010
Серия: Chapman & hall/crc monographs on statistics and applied probability
Язык: English
Иллюстрации: 17 tables, black and white; 65 illustrations, black and white
Размер: 246 x 163 x 19
Читательская аудитория: Postgraduate, research & scholarly
Подзаголовок: Fitting circles and lines by least squares
Рейтинг:
Поставляется из: Европейский союз

Methods and Applications of Linear Models

Автор: Hocking Ronald R
Название: Methods and Applications of Linear Models
ISBN: 1118329503 ISBN-13(EAN): 9781118329504
Издательство: Wiley
Рейтинг:
Цена: 134060.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Praise for the Second Edition "An essential desktop reference book... it should definitely be on your bookshelf.

Applied Linear Regression

Автор: Weisberg Sanford
Название: Applied Linear Regression
ISBN: 1118386086 ISBN-13(EAN): 9781118386088
Издательство: Wiley
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Цена: 125610.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Providing a coherent set of basic methodology for applied linear regression without being encyclopedic, the fourth edition of Applied Linear Regression is thoroughly updated to help students master the theory and applications of linear regression modeling.

Applied Regression Analysis and Generalized Linear Models

Автор: Fox John
Название: Applied Regression Analysis and Generalized Linear Models
ISBN: 1452205663 ISBN-13(EAN): 9781452205663
Издательство: Sage Publications
Рейтинг:
Цена: 166850.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Providing a modern treatment of regression analysis, linear models and closely related methods, this book introduces students to one of the most useful and widely used statistical tools for social research.

Circular and Linear Regression

Автор: Chernov, Nikolai
Название: Circular and Linear Regression
ISBN: 0367577178 ISBN-13(EAN): 9780367577179
Издательство: Taylor&Francis
Рейтинг:
Цена: 48990.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.

Regression Analysis and Linear Models

Автор: Molloy Graham
Название: Regression Analysis and Linear Models
ISBN: 1635497051 ISBN-13(EAN): 9781635497052
Издательство: Неизвестно
Цена: 163070.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.

Regression Methods in Biostatistics

Автор: Eric Vittinghoff; David V. Glidden; Stephen C. Shi
Название: Regression Methods in Biostatistics
ISBN: 1489998543 ISBN-13(EAN): 9781489998545
Издательство: Springer
Рейтинг:
Цена: 79190.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This fresh edition, substantially revised and augmented, provides a unified, in-depth, readable introduction to the multipredictor regression methods most widely used in biostatistics. The examples used, analyzed using Stata, can be applied to other areas.

Linear Models And Regression With R: An Integrated Approach

Автор: Jammalamadaka S Rao, Sengupta Debasis
Название: Linear Models And Regression With R: An Integrated Approach
ISBN: 9811200408 ISBN-13(EAN): 9789811200403
Издательство: World Scientific Publishing
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Цена: 49600.00 T
Наличие на складе: Есть
Описание:

Starting with the basic linear model where the design and covariance matrices are of full rank, this book demonstrates how the same statistical ideas can be used to explore the more general linear model with rank-deficient design and/or covariance matrices. The unified treatment presented here provides a clearer understanding of the general linear model from a statistical perspective, thus avoiding the complex matrix-algebraic arguments that are often used in the rank-deficient case. Elegant geometric arguments are used as needed.

The book has a very broad coverage, from illustrative practical examples in Regression and Analysis of Variance alongside their implementation using R, to providing comprehensive theory of the general linear model with 181 worked-out examples, 227 exercises with solutions, 152 exercises without solutions (so that they may be used as assignments in a course), and 320 up-to-date references.

This completely updated and new edition of Linear Models: An Integrated Approach includes the following features:

  • Applications with data sets, and their implementation in R,
  • Comprehensive coverage of regression diagnostics and model building,
  • Coverage of other special topics such as collinearity, stochastic and inequality constraints, misspecified models, etc.,
  • Use of simple statistical ideas and interpretations to explain advanced concepts, and simpler proofs of many known results,
  • Discussion of models covering mixed-effects/variance components, spatial, and time series data with partially unknown dispersion matrix,
  • Thorough treatment of the singular linear model, including the case of multivariate response,
  • Insight into updates in the linear model, and their connection with diagnostics, design, variable selection, Kalman filter, etc.,
  • Extensive discussion of the foundations of linear inference, along with linear alternatives to least squares.
Solutions Manual to Accompany Introduction to Linear Regression Analysis

Автор: Montgomery Douglas C., Peck Elizabeth A., Vining G. Geoffrey
Название: Solutions Manual to Accompany Introduction to Linear Regression Analysis
ISBN: 1119578698 ISBN-13(EAN): 9781119578697
Издательство: Wiley
Рейтинг:
Цена: 26930.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume is a guide for scholars, policymakers, attorneys, teachers, judges, and students interested in the theories, policies, and doctrines of copyright law. Featuring experts from around the world, the handbook offers a systematic, comparative study of copyright in major jurisdictions including the United States, the European Union, and China.

Linear Models and Regression with R: An Integrated Approach

Автор: Sengupta Debasis, Jammalamadaka S. Rao
Название: Linear Models and Regression with R: An Integrated Approach
ISBN: 9811229287 ISBN-13(EAN): 9789811229282
Издательство: World Scientific Publishing
Рейтинг:
Цена: 99010.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Starting with the basic linear model where the design and covariance matrices are of full rank, this book demonstrates how the same statistical ideas can be used to explore the more general linear model with rank-deficient design and/or covariance matrices.

Linear Regression

Автор: Olive David J.
Название: Linear Regression
ISBN: 3319856081 ISBN-13(EAN): 9783319856087
Издательство: Springer
Рейтинг:
Цена: 93160.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Introduction.- Multiple Linear Regression.- Building an MLR Model.- WLS and Generalized Least Squares.- One Way Anova.- The K Way Anova Model.- Block Designs.- Orthogonal Designs.- More on Experimental Designs.- Multivariate Models.- Theory for Linear Models.- Multivariate Linear Regression.- GLMs and GAMs.- Stuff for Students.

Linear Regression Models: Applications in R

Автор: Hoffmann John P.
Название: Linear Regression Models: Applications in R
ISBN: 0367753669 ISBN-13(EAN): 9780367753665
Издательство: Taylor&Francis
Рейтинг:
Цена: 74510.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book includes chapters on specifying the correct linear regression model, adjusting for measurement error, understanding the effects of influential observations, and using multilevel data.

Linear Regression Models: Applications in R

Автор: Hoffmann John P.
Название: Linear Regression Models: Applications in R
ISBN: 0367753685 ISBN-13(EAN): 9780367753689
Издательство: Taylor&Francis
Рейтинг:
Цена: 188850.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book includes chapters on specifying the correct linear regression model, adjusting for measurement error, understanding the effects of influential observations, and using multilevel data.


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