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
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Цена: 68390.00 T
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
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Цена: 83850.00 T
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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
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Цена: 113190.00 T
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
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Цена: 69870.00 T
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
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Цена: 83810.00 T
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: Keith
Название: Multiple Regression and Beyond
ISBN: 1138061425 ISBN-13(EAN): 9781138061422
Издательство: Taylor&Francis
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Цена: 224570.00 T
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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: Adam G. Petrie
Название: Introduction to Regression and Modeling with R
ISBN: 1631892509 ISBN-13(EAN): 9781631892509
Издательство: Mare Nostrum (Eurospan)
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Цена: 89410.00 T
Наличие на складе: Невозможна поставка.
Описание: The primary goal of Introduction to Regression Modeling with R is to help students understand the types of questions regression models can and cannot answer and how to answer them. Students will become familiar with fitting both simple and complex models using R. The text stresses model interpretation rather than tedious algebra or mathematics since R calculates almost all relevant numbers. Equations are presented to help flesh out the ""why"" behind various aspects of modeling and to provide additional insights into how regression models work.Introduction to Regression Modeling with R includes numerous examples and sections not featured in earlier editions, and R code is visible throughout the book. A custom R package accompanies the text and was written to aid in regression model building and interpretation. This text is intended for those studying for professions that make use of large and potentially complex datasets arising observational studies, particularly in the fields of business and social science.

Автор: Keith
Название: Multiple Regression and Beyond
ISBN: 1138061441 ISBN-13(EAN): 9781138061446
Издательство: Taylor&Francis
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Цена: 86760.00 T
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: A. Wojtkiewicz Roger
Название: Elementary Regression Modeling
ISBN: 1506303471 ISBN-13(EAN): 9781506303475
Издательство: Sage Publications
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Цена: 88710.00 T
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: Bradley A. Hartlaub
Название: STAT2: Modeling with Regression and ANOVA
ISBN: 1319054072 ISBN-13(EAN): 9781319054076
Издательство: Macmillan Learning
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Цена: 101630.00 T
Наличие на складе: Нет в наличии.
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
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Цена: 74830.00 T
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.

Автор: Chen Ding-Geng (Din), Chen Jenny K.
Название: Statistical Regression Modeling with R: Longitudinal and Multi-Level Modeling
ISBN: 3030675823 ISBN-13(EAN): 9783030675820
Издательство: Springer
Цена: 79190.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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.