Handbook of Regression and Modeling, Paulson, Daryl S.
Автор: Mcnulty, Keith Название: Handbook of regression modeling in people analytics ISBN: 1032041749 ISBN-13(EAN): 9781032041742 Издательство: Taylor&Francis Рейтинг: Цена: 10258.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is a learning resource on inferential statistics and regression analysis. It teaches how to do a wide range of statistical analyses in both R and in Python, ranging from simple hypothesis testing to advanced multivariate modelling.
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: Ezra Hauer Название: The Art of Regression Modeling in Road Safety ISBN: 3319125281 ISBN-13(EAN): 9783319125282 Издательство: Springer Рейтинг: Цена: 16979.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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: 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.
Автор: A. Wojtkiewicz Roger Название: Elementary Regression Modeling ISBN: 1506303471 ISBN-13(EAN): 9781506303475 Издательство: Sage Publications Рейтинг: Цена: 13306.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This user-friendly text builds on simple differences between groups to explain regression and regression modeling and provides a conceptual basis for the processes and procedures researchers follow when conducting regression analyses.
Автор: Keith Название: Multiple Regression and Beyond ISBN: 1138061425 ISBN-13(EAN): 9781138061422 Издательство: Taylor&Francis Рейтинг: Цена: 33686.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Multiple Regression and Beyond offers a conceptually oriented introduction to multiple regression (MR) analysis and structural equation modeling (SEM), along with analyses that flow naturally from those methods.
Автор: Keith Название: Multiple Regression and Beyond ISBN: 1138061441 ISBN-13(EAN): 9781138061446 Издательство: Taylor&Francis Рейтинг: Цена: 13014.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Multiple Regression and Beyond offers a conceptually oriented introduction to multiple regression (MR) analysis and structural equation modeling (SEM), along with analyses that flow naturally from those methods.
Автор: Bradley A. Hartlaub Название: STAT2: Modeling with Regression and ANOVA ISBN: 1319054072 ISBN-13(EAN): 9781319054076 Издательство: Macmillan Learning Рейтинг: Цена: 15244.00 р. Наличие на складе: Поставка под заказ.
Описание: The book will appeal to a diverse audience, including advocates and sceptics, academics and practitioners, transitional justice specialists and readers from other sectors (development, peace-building and human rights), and to a genuinely multi-disciplinary cohort of scholars. Its value lies in its contribution to both conceptual and practice-based thinking on transformative justice.
Автор: Knafl George J., Ding Kai Название: Adaptive Regression for Modeling Nonlinear Relationships ISBN: 3319816381 ISBN-13(EAN): 9783319816388 Издательство: Springer Рейтинг: Цена: 11225.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents methods for investigating whether relationships are linear or nonlinear and for adaptively fitting appropriate models when they are nonlinear. The book also provides a comparison of adaptive modeling to generalized additive modeling (GAM) and multiple adaptive regression splines (MARS) for univariate outcomes.
Описание: It begins with linear and nonlinear regression for normally distributed data, logistic regression for binomially distributed data, and Poisson regression and negative-binomial regression for count data.
Analysis of Variance, Design, and Regression: Linear Modeling for Unbalanced Data, Second Edition presents linear structures for modeling data with an emphasis on how to incorporate specific ideas (hypotheses) about the structure of the data into a linear model for the data. The book carefully analyzes small data sets by using tools that are easily scaled to big data. The tools also apply to small relevant data sets that are extracted from big data.
New to the Second Edition
Reorganized to focus on unbalanced data
Reworked balanced analyses using methods for unbalanced data
Introductions to nonparametric and lasso regression
Introductions to general additive and generalized additive models
Examination of homologous factors
Unbalanced split plot analyses
Extensions to generalized linear models
R, Minitab(R), and SAS code on the author's website
The text can be used in a variety of courses, including a yearlong graduate course on regression and ANOVA or a data analysis course for upper-division statistics students and graduate students from other fields. It places a strong emphasis on interpreting the range of computer output encountered when dealing with unbalanced data.
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