Regression for health and social science, Zelterman, Daniel (yale University, Connecticut)

Автор: Hooshang Nayebi
Название: Advanced Statistics for Testing Assumed Causal Relationships
ISBN: 3030547531 ISBN-13(EAN): 9783030547530
Издательство: Springer
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Цена: 74530.00 T
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Описание: It presents that potential effects of each independent variable on the dependent variable are not limited to direct and indirect effects. The path analysis shows each independent variable has a pure effect on the dependent variable. So, it can be shown the unique contribution of each independent variable to the variation of the dependent variable.

Автор: John Fox
Название: Regression Diagnostics: An Introduction
ISBN: 1544375220 ISBN-13(EAN): 9781544375229
Издательство: Sage Publications
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Цена: 39060.00 T
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Описание:

Regression diagnostics are methods for determining whether a regression model that has been fit to data adequately represents the structure of the data. For example, if the model assumes a linear (straight-line) relationship between the response and an explanatory variable, is the assumption of linearity warranted? Regression diagnostics not only reveal deficiencies in a regression model that has been fit to data but in many instances may suggest how the model can be improved. The Second Edition of this bestselling volume by John Fox considers two important classes of regression models: the normal linear regression model (LM), in which the response variable is quantitative and assumed to have a normal distribution conditional on the values of the explanatory variables; and generalized linear models (GLMs) in which the conditional distribution of the response variable is a member of an exponential family. R code and data sets for examples within the text can be found on an accompanying website at https://tinyurl.com/RegDiag. 

Автор: Schroeder Larry D., Sjoquist David L., Stephan Pau
Название: Understanding Regression Analysis: An Introductory Guide
ISBN: 1506332889 ISBN-13(EAN): 9781506332888
Издательство: Sage Publications
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Цена: 39060.00 T
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Описание: Presents the fundamentals of regression analysis, from its meaning to uses, in a concise, easy-to-read, and non-technical style.

Автор: Lewis-Beck Michael S. Professor, Lewis-Beck Colin
Название: Applied Regression: An Introduction
ISBN: 1483381471 ISBN-13(EAN): 9781483381473
Издательство: Sage Publications
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Цена: 39060.00 T
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Описание: Updates to this new edition include: more coverage of regression assumptions and model fit; additional material on residual analysis; more examples of transformations; and the inclusion of the measures of tolerance and VIF within the discussion about collinearity.

Автор: Chatterjee Samprit
Название: Handbook of Regression Analysis
ISBN: 0470887168 ISBN-13(EAN): 9780470887165
Издательство: Wiley
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Цена: 125610.00 T
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Описание: A Comprehensive Account for Data Analysts of the Methods and Applications of Regression Analysis. Written by two established experts in the field, the purpose of the Handbook of Regression Analysis is to provide a practical, one-stop reference on regression analysis.

Автор: Gelman
Название: Data analysis using regression and multilevel/hierarchical models
ISBN: 052168689X ISBN-13(EAN): 9780521686891
Издательство: Cambridge Academ
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Цена: 57030.00 T
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Описание: Data Analysis Using Regression and Multilevel/Hierarchical Models, first published in 2007, is a comprehensive manual for the applied researcher who wants to perform data analysis using linear and nonlinear regression and multilevel models. It introduces and demonstrates a variety of models and instructs the reader in how to fit these models using freely available software packages.

Автор: Gordon, Rachel A.
Название: Regression Analysis for the Social Sciences
ISBN: 1138810533 ISBN-13(EAN): 9781138810532
Издательство: Taylor&Francis
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Цена: 275610.00 T
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Автор: Onyiah, Leonard C.
Название: Design and Analysis of Experiments
ISBN: 1420060546 ISBN-13(EAN): 9781420060546
Издательство: Taylor&Francis
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Цена: 148010.00 T
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Автор: Borowiak, Dale S.
Название: Model Discrimination for Nonlinear Regression Models
ISBN: 0824780531 ISBN-13(EAN): 9780824780531
Издательство: Taylor&Francis
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Цена: 255200.00 T
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Автор: Breiman, Leo
Название: Classification and Regression Trees
ISBN: 0412048418 ISBN-13(EAN): 9780412048418
Издательство: Taylor&Francis
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Цена: 117390.00 T
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Автор: Chen Ding-Geng (Din), Chen Jenny K.
Название: Statistical Regression Modeling with R: Longitudinal and Multi-level Modeling
ISBN: 3030675858 ISBN-13(EAN): 9783030675851
Издательство: Springer
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Цена: 79190.00 T
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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.

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
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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.