Linear Models with R (Texts in Statistical Science) / Edition 1

Hardcover (Print)
Rent
Rent from BN.com
$24.14
(Save 75%)
Est. Return Date: 12/01/2014
Buy New
Buy New from BN.com
$93.40
Used and New from Other Sellers
Used and New from Other Sellers
from $47.00
Usually ships in 1-2 business days
(Save 51%)
Other sellers (Hardcover)
  • All (7) from $47.00   
  • New (4) from $47.00   
  • Used (3) from $55.95   

Overview

Books on regression and the analysis of variance abound—many are introductory, many are theoretical. While most of them do serve a purpose, the fact remains that data analysis cannot be properly learned without actually doing it, and this means using a statistical software package. There are many of these to choose from, all with their particular strengths and weaknesses. Lately, however, one such package has begun to rise above the others thanks to its free availability, its versatility as a programming language, and its interactivity. That software is R.

In the first book that directly uses R to teach data analysis, Linear Models with R focuses on the practice of regression and analysis of variance. It clearly demonstrates the different methods available and, more importantly, in which situations each one applies. It covers all of the standard topics, from the basics of estimation to missing data, factorial designs, and block designs. It also discusses topics, such as model uncertainty, rarely addressed in books of this type. The presentation incorporates numerous examples that clarify both the use of each technique and the conclusions one can draw from the results. All of the data sets used in the book are available for download from http://people.bath.ac.uk/jjf23/LMR/

The author assumes that readers know the essentials of statistical inference and have a basic knowledge of data analysis, linear algebra, and calculus. The treatment reflects his view of statistical theory and his belief that qualitative statistical concepts, while somewhat more difficult to learn, are just as important because they enable us to practice statistics rather than just talk about it.

Read More Show Less

Product Details

Table of Contents

INTRODUCTION
Before b
Initial Data Analysis
When to Use Regression Analysis
History
ESTIMATION
Linear Model
Matrix Representation
Estimating b
Least b
Examples of Calculating
Gauss-Markov Theorem
Goodness of Fit
Example
Identifiability
INFERENCE
Hypothesis Tests to compare models
Testing Examples
Permutation tests
Confidence Intervals for b
Confidence Intervals for Predictions
Designed Experiments
Observational Data
Practical Difficulties
DIAGNOSTICS
Checking Error Assumptions
Finding Unusual Observations
Checking the Structure of the Model
PROBLEMS WITH THE PREDICTORS
Errors in Predictors
Changes of Scale
Collinearity
PROBLEMS WITH THE ERROR
Generalized Least Squares
Weighted Least Squares
Testing for Lack of Fit
Robust Regression
TRANSFORMATION
Transforming the Response
Transforming the Predictors
VARIABLE SELECTION
Hierarchical Models
Testing-based Procedures
Criterion-based procedures
Summary
SHRINKAGE METHODS
Principal Components
Partial Least Squares
Ridge Regression
STATISTICAL STRATEGY AND MODEL UNCERTAINTY
Strategy
An Experiment in Model Building
Discussion
CHICAGO INSURANCE REDLINING - A COMPLETE EXAMPLE
Ecological Correlation
Initial Data Analysis
Initial model and Diagnostics
Transformation and Variable Selection
Discussion
MISSING DATA
ANALYSIS OF COVARIANCE
A Two-Level Example
Coding Qualitative Predictors
A Multi-Level Factor Example
ONE-WAY ANOVA
The Model
An Example
Diagnostics
Pairwise Comparisons
FACTORIAL DESIGNS
Two-Way Anova
Two-Way Anova with One Observation per Cell
Two-Way Anova with more than One Observation per Cell
Larger Factorial Experiments
BLOCK DESIGNS
Randomized Block design
Latin Squares
Balanced Incomplete Block design
APPENDICES
R installation, Functions and Data
Quick Introduction to R
BIBLIOGRAPHY
INDEX

Read More Show Less

Customer Reviews

Be the first to write a review
( 0 )
Rating Distribution

5 Star

(0)

4 Star

(0)

3 Star

(0)

2 Star

(0)

1 Star

(0)

Your Rating:

Your Name: Create a Pen Name or

Barnes & Noble.com Review Rules

Our reader reviews allow you to share your comments on titles you liked, or didn't, with others. By submitting an online review, you are representing to Barnes & Noble.com that all information contained in your review is original and accurate in all respects, and that the submission of such content by you and the posting of such content by Barnes & Noble.com does not and will not violate the rights of any third party. Please follow the rules below to help ensure that your review can be posted.

Reviews by Our Customers Under the Age of 13

We highly value and respect everyone's opinion concerning the titles we offer. However, we cannot allow persons under the age of 13 to have accounts at BN.com or to post customer reviews. Please see our Terms of Use for more details.

What to exclude from your review:

Please do not write about reviews, commentary, or information posted on the product page. If you see any errors in the information on the product page, please send us an email.

Reviews should not contain any of the following:

  • - HTML tags, profanity, obscenities, vulgarities, or comments that defame anyone
  • - Time-sensitive information such as tour dates, signings, lectures, etc.
  • - Single-word reviews. Other people will read your review to discover why you liked or didn't like the title. Be descriptive.
  • - Comments focusing on the author or that may ruin the ending for others
  • - Phone numbers, addresses, URLs
  • - Pricing and availability information or alternative ordering information
  • - Advertisements or commercial solicitation

Reminder:

  • - By submitting a review, you grant to Barnes & Noble.com and its sublicensees the royalty-free, perpetual, irrevocable right and license to use the review in accordance with the Barnes & Noble.com Terms of Use.
  • - Barnes & Noble.com reserves the right not to post any review -- particularly those that do not follow the terms and conditions of these Rules. Barnes & Noble.com also reserves the right to remove any review at any time without notice.
  • - See Terms of Use for other conditions and disclaimers.
Search for Products You'd Like to Recommend

Recommend other products that relate to your review. Just search for them below and share!

Create a Pen Name

Your Pen Name is your unique identity on BN.com. It will appear on the reviews you write and other website activities. Your Pen Name cannot be edited, changed or deleted once submitted.

 
Your Pen Name can be any combination of alphanumeric characters (plus - and _), and must be at least two characters long.

Continue Anonymously

    If you find inappropriate content, please report it to Barnes & Noble
    Why is this product inappropriate?
    Comments (optional)