LIGHTNING FAST SHIPPING! A heavily used, but still working copy. Coffee stain and wrinkling to the edge of the pages when a tired undergrad fell asleep and knocked their cup over on their books. The binding and pages of the book have been reinforced with tape, has tape and stickers on the cover, as well as lots of notes (some of the answers in the learning activities may be filled in) on the pages. Definitely not pretty, but it's a working copy at a great price that ships fast. ~ Book does NOT contain an access code or CD/DVD.

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Detalles bibliogr�ficos

T�tulo

A Modern Approach to Regression with R (Springer Texts in Statistics)

Editor

Springer

Fecha de publicaci�n

2009

Idioma

Ingl�s

ISBN 10

0387096078

ISBN 13

9780387096070

Encuadernaci�n

Encuadernaci�n de tapa dura

Estado

Acceptable

Cat�logos de vendedores

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Sinopsis

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 models and assessing their validity. We shall see that deciding what to plot and how each plot should be interpreted will be a major challenge. In order to overcome this challenge we shall need to understand the mathematical properties of the fitted regression models and associated diagnostic procedures. As such this will be an area of focus throughout the book. In particular, we shall carefully study the properties of resi- als in order to understand when patterns in residual plots provide direct information about model misspecification and when they do not. The regression output and plots that appear throughout the book have been gen- ated using R. The output from R that appears in this book has been edited in minor ways. On the book web site you will find the R code used in each example in the text.

De la contraportada

A Modern Approach to Regression with R 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.

The regression output and plots that appear throughout the book have been generated using R. On the book website you will find the R code used in each example in the text. You will also find SAS-code and STATA-code to produce the equivalent output on the book website. Primers containing expanded explanations of R, SAS and STATA and their use in this book are also available on the book website.

The book contains a number of new real data sets from applications ranging from rating restaurants, rating wines, predicting newspaper circulation and magazine revenue, comparing the performance of NFL kickers, and comparing finalists in the Miss America pageant across states.

One of the aspects of the book that sets it apart from many other regression books is that complete details are provided for each example. The book is aimed at first year graduate students in statistics and could also be used for a senior undergraduate class.

Simon Sheather is Professor and Head of the Department of Statistics at Texas A&M University. Professor Sheather’s research interests are in the fields of flexible regression methods and nonparametric and robust statistics. He is a Fellow of the American Statistical Association and listed on ISIHighlyCited.com.

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Bulrushed Books is a grassroots textbook repair and resale company in the beautiful Palouse region of the Pacific Northwest. We work exclusively with US-based book companies and ship to customers nation-wide. Our story stretches far beyond where we are now, but the core of this journey has always remained the same: we love used books.

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Bulrushed Books
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Bulrushed Books is a used book company that rebuilds our books to give them a longer life. Here is what you can expect from our company:

*All books purchased through us can be rerturned for any reason within 30 days of your puchase.

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