Linear Regression Models: Applications in R, Hoffmann John P.

Автор: Hocking Ronald R
Название: Methods and Applications of Linear Models
ISBN: 1118329503 ISBN-13(EAN): 9781118329504
Издательство: Wiley
Рейтинг:
Цена: 20109.00 р.
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.

Автор: Zelterman, Daniel (yale University, Connecticut)
Название: Regression for health and social science
ISBN: 1108478182 ISBN-13(EAN): 9781108478182
Издательство: Cambridge Academ
Рейтинг:
Цена: 7918.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Using every-day examples and numerous exercises, this text covers the basics of linear models with a minimum of mathematics. The emphasis is on issues involved in the analysis and the interpretation of computer output. R code is provided and explained allowing readers to apply the methods to their own data.

Автор: Hoffmann John P.
Название: Linear Regression Models: Applications in R
ISBN: 0367753669 ISBN-13(EAN): 9780367753665
Издательство: Taylor&Francis
Рейтинг:
Цена: 11176.00 р.
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.

Автор: Frank E. Harrell , Jr.
Название: Regression Modeling Strategies
ISBN: 331933039X ISBN-13(EAN): 9783319330396
Издательство: Springer
Рейтинг:
Цена: 10480.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Most of the methods in this text apply to all regression models, but special emphasis is given to multiple regression using generalised least squares for longitudinal data, the binary logistic model, models for ordinal responses, parametric survival regression models and the Cox semi parametric survival model.

Автор: Sanford Weisberg
Название: Applied Linear Regression, 3rd Edition
ISBN: 0471663794 ISBN-13(EAN): 9780471663799
Издательство: Wiley
Рейтинг:
Цена: 14335.00 р.
Наличие на складе: Поставка под заказ.

Описание: Applied Linear Regression, Third Edition is thoroughly updated to help students master the theory and applications of linear regression modeling. Focusing on model building, assessing fit and reliability, and drawing conclusions, the text demonstrates how to develop estimation, confidence, and testing procedures primarily through the use of least squares regression. To facilitate quick learning, this Third Edition stresses using graphical methods to find appropriate models and to better understand them. In that spirit, most analyses and homework problems use graphs for the discovery of structure as well as for the summarization of results. This text is an excellent tool f learning how to use linear regression analysis techniques to solve and gain insight into real--life problems.

Автор: Eric Vittinghoff; David V. Glidden; Stephen C. Shi
Название: Regression Methods in Biostatistics
ISBN: 1489998543 ISBN-13(EAN): 9781489998545
Издательство: Springer
Рейтинг:
Цена: 11878.00 р.
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.

Автор: Vittinghoff
Название: Regression Methods in Biostatistics
ISBN: 0387202757 ISBN-13(EAN): 9780387202754
Издательство: Springer
Рейтинг:
Цена: 11313.00 р.
Наличие на складе: Поставка под заказ.

Описание: An introduction to the multipredictor regression methods widely used in biostatistics. This book covers linear models for continuous outcomes; logistic models for binary outcomes; the Cox model for right-censored survival times; repeated-measures models for longitudinal and hierarchical outcomes; and linear models for counts and other outcomes.

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: 14852.00 р.
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.

Название: Regression Modeling Strategies
ISBN: 3319194240 ISBN-13(EAN): 9783319194240
Издательство: Springer
Рейтинг:
Цена: 12577.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Most of the methods in this text apply to all regression models, but special emphasis is given to multiple regression using generalised least squares for longitudinal data, the binary logistic model, models for ordinal responses, parametric survival regression models and the Cox semi parametric survival model.

Автор: Molloy Graham
Название: Regression Analysis and Linear Models
ISBN: 1635497051 ISBN-13(EAN): 9781635497052
Издательство: Неизвестно
Цена: 24461.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Автор: Fox John
Название: Applied Regression Analysis and Generalized Linear Models
ISBN: 1452205663 ISBN-13(EAN): 9781452205663
Издательство: Sage Publications
Рейтинг:
Цена: 25027.00 р.
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.

Автор: Frank E. Harrell
Название: Regression Modeling Strategies
ISBN: 1441929185 ISBN-13(EAN): 9781441929181
Издательство: Springer
Рейтинг:
Цена: 12571.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: There are many books that are excellent sources of knowledge about individual stastical tools (survival models, general linear models, etc.), but the art of data analysis is about choosing and using multiple tools. In the words of Chatfield ..".students typically know the technical details of regressin for example, but not necessarily when and how to apply it. This argues the need for a better balance in the literature and in statistical teaching between techniques and problem solving strategies." Whether analyzing risk factors, adjusting for biases in observational studies, or developing predictive models, there are common problems that few regression texts address. For example, there are missing data in the majority of datasets one is likely to encounter (other than those used in textbooks ) but most regression texts do not include methods for dealing with such data effectively, and texts on missing data do not cover regression modeling.