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: 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: 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: 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
Наличие на складе: Нет в наличии.

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: 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: 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
Наличие на складе: Нет в наличии.

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: Westfall, Peter , Arias, Andrea L.
Название: Understanding Regression Analysis
ISBN: 0367493519 ISBN-13(EAN): 9780367493516
Издательство: Taylor&Francis
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Цена: 43890.00 T
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Описание: This book unifies diverse regression applications including the classical model, ANOVA models, generalized models including Poisson, Negative binomial, logistic, and survival, neural networks and decision trees under a common umbrella; namely, the conditional distribution model.

Автор: Uusipaikka, Esa
Название: Confidence Intervals in Generalized Regression Models
ISBN: 0367387085 ISBN-13(EAN): 9780367387082
Издательство: Taylor&Francis
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Цена: 65320.00 T
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Описание:

A Cohesive Approach to Regression Models

Confidence Intervals in Generalized Regression Models introduces a unified representation--the generalized regression model (GRM)--of various types of regression models. It also uses a likelihood-based approach for performing statistical inference from statistical evidence consisting of data and its statistical model.

Provides a Large Collection of Models

The book encompasses a number of different regression models, from very simple to more complex ones. It covers the general linear model (GLM), nonlinear regression model, generalized linear model (GLIM), logistic regression model, Poisson regression model, multinomial regression model, and Cox regression model. The author also explains methods of constructing confidence regions, profile likelihood-based confidence intervals, and likelihood ratio tests.

Uses Statistical Inference Package to Make Inferences on Real-Valued Parameter Functions

Offering software that helps with statistical analyses, this book focuses on producing statistical inferences for data modeled by GRMs. It contains numerical and graphical results while providing the code online.

Автор: Ivan Stanimirovic
Название: Correlation and Regression Analysis: Applications for Industrial Organizations
ISBN: 1774071584 ISBN-13(EAN): 9781774071588
Издательство: Mare Nostrum (Eurospan)
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Цена: 156150.00 T
Наличие на складе: Нет в наличии.
Описание: Discusses the important theoretical concepts such as the Amortization System Constant, French System of Price Amortization, comparative analysis of these methods and American System of Amortization which provide a basic understanding of the correlation and regression analysis.