Modern Regression Techniques Using R

This book PDF is perfect for those who love Mathematics genre, written by Daniel B Wright and published by SAGE which was released on 19 February 2009 with total hardcover pages 217. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Modern Regression Techniques Using R books below.

Modern Regression Techniques Using R
Modern Regression Techniques Using R
Author : Daniel B Wright
File Size : 48,8 Mb
Publisher : SAGE
Language : English
Release Date : 19 February 2009
ISBN : 9781446206027
Pages : 217 pages
Get Book

Modern Regression Techniques Using R by Daniel B Wright Book PDF Summary

Statistics is the language of modern empirical social and behavioural science and the varieties of regression form the basis of this language. Statistical and computing advances have led to new and exciting regressions that have become the necessary tools for any researcher in these fields. In a way that is refreshingly engaging and readable, Wright and London describe the most useful of these techniques and provide step-by-step instructions, using the freeware R, to analyze datasets that can be located on the books′ webpage: www.sagepub.co.uk/wrightandlondon. Techniques covered in this book include multilevel modeling, ANOVA and ANCOVA, path analysis, mediation and moderation, logistic regression (generalized linear models), generalized additive models, and robust methods. These are all tested out using a range of real research examples conducted by the authors in every chapter. Given the wide coverage of techniques, this book will be essential reading for any advanced undergraduate and graduate student (particularly in psychology) and for more experienced researchers wanting to learn how to apply some of the more recent statistical techniques to their datasets. The Authors are donating all royalties from the book to the American Partnership for Eosinophilic Disorders.

Modern Regression Techniques Using R

Modern Regression Techniques Using R by Daniel B Wright,Kamala London

Statistics is the language of modern empirical social and behavioural science and the varieties of regression form the basis of this language. Statistical and computing advances have led to new and exciting regressions that have become the necessary tools for any researcher in these fields. In a way that is

Get Book
A Modern Approach to Regression with R

A Modern Approach to Regression with R by Simon Sheather

This book focuses on tools and techniques for building regression models using real-world data and assessing their validity. A key theme throughout the book is that it makes sense to base inferences or conclusions only on valid models. Plots are shown to be an important tool for both building regression

Get Book
Modern Regression Methods

Modern Regression Methods by Thomas P. Ryan

"Over the years, I have had the opportunity to teach several regression courses, and I cannot think of a better undergraduate text than this one." —The American Statistician "The book is well written and has many exercises. It can serve as a very good textbook for scientists and engineers, with

Get Book
A Modern Approach to Regression with R

A Modern Approach to Regression with R by Simon Sheather

This book focuses on tools and techniques for building regression models using real-world data and assessing their validity. A key theme throughout the book is that it makes sense to base inferences or conclusions only on valid models. Plots are shown to be an important tool for both building regression

Get Book
Modern Statistics with R

Modern Statistics with R by Måns Thulin

The past decades have transformed the world of statistical data analysis, with new methods, new types of data, and new computational tools. The aim of Modern Statistics with R is to introduce you to key parts of the modern statistical toolkit. It teaches you: - Data wrangling - importing, formatting,

Get Book
Statistical Inference via Data Science A ModernDive into R and the Tidyverse

Statistical Inference via Data Science A ModernDive into R and the Tidyverse by Chester Ismay,Albert Y. Kim

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse provides a pathway for learning about statistical inference using data science tools widely used in industry, academia, and government. It introduces the tidyverse suite of R packages, including the ggplot2 package for data visualization, and the dplyr package

Get Book
Advanced Regression Models with SAS and R

Advanced Regression Models with SAS and R by Olga Korosteleva

Advanced Regression Models with SAS and R exposes the reader to the modern world of regression analysis. The material covered by this book consists of regression models that go beyond linear regression, including models for right-skewed, categorical and hierarchical observations. The book presents the theory as well as fully worked-out

Get Book
Data Analysis Using Regression and Multilevel Hierarchical Models

Data Analysis Using Regression and Multilevel Hierarchical Models by Andrew Gelman,Jennifer Hill

This book, first published in 2007, is for the applied researcher performing data analysis using linear and nonlinear regression and multilevel models.

Get Book