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A Modern Approach to Regression with R (Springer Texts in Statistics) by Sheath
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Item specifics
- Condition
- Book Title
- A Modern Approach to Regression with R (Springer Texts in Statist
- ISBN
- 9780387096070
About this product
Product Identifiers
Publisher
Springer New York
ISBN-10
0387096078
ISBN-13
9780387096070
eBay Product ID (ePID)
4743970
Product Key Features
Number of Pages
Xiv, 393 Pages
Publication Name
Modern Approach to Regression with R
Language
English
Subject
Programming Languages / General, Probability & Statistics / General, Probability & Statistics / Regression Analysis, Econometrics
Publication Year
2009
Type
Textbook
Subject Area
Mathematics, Computers, Business & Economics
Series
Springer Texts in Statistics Ser.
Format
Hardcover
Dimensions
Item Weight
58.2 Oz
Item Length
9.3 in
Item Width
6.1 in
Additional Product Features
Intended Audience
Scholarly & Professional
Dewey Edition
22
TitleLeading
A
Reviews
"This book fills an important niche in the regression textbook by providing a data-centered approach strong on graphics. ...I am particularly interested in teaching regression to undergraduates, and I used this book one term in an introduction to applied regression course. ...It is a book I will use again. ...Graduate students in particular will find the balance between applications and theory useful, and the minimal amount of formulae used means the book should be useful for students from a variety of disciplines. The well-motivated homework problems are interesting and sufficiently complex that students at all levels will be able to learn something from them." (Journal of Statistical Software, March 2010, Vo. 33, Book Review 3) Simon Sheather, A Modern Approach to Regression With R 978-0-387-09607-0 "The author states that 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. The primary focus is on examining statistical and graphical methods for assessing whether or not the model upon which one desires to draw inferences is valid. ... the examples...will have appeal to the students due to the variety of the techniques motivated by the datasets. The author has included numerous graphs and descriptions with associated flow charts to assist the student in 'visualizing' the process one should take when modeling data using regression models. I found that the book was ...very readable and that the graphics were ...useful in the analysis of the problem under consideration. The book is also the 'right size' with enough but not too much content. Personally, I was pleased not to see the voluminous R code that 'litters' many of the books that are 'with R.' I was also pleased that some of the characteristic R output has been minimized and reformatted to improve the appearance of the text....One of the aspects I found most appealing is that which is not found in the book. The supplementary material given on the author's webpage is potentially very useful. The R code that was used to create the graphs and output in the book is provided in a separate document. This supplement will be very useful to the student who is learning R. In addition, there are similar documents that use SAS and STATA. I have found that having code to address a specific statistical problem is a very effective way for a student to learn a statistical software package. The author's supplementary material using all three packages will provide an effective means for a student to learn multiple software packages without having to spend valuable classroom time and instructor supervision." (The American Statistician, August 2010, Vol. 64, No. 3), This book fills an important niche in the regression textbook by providing a data-centered approach strong on graphics. …I am particularly interested in teaching regression to undergraduates, and I used this book one term in an introduction to applied regression course. …It is a book I will use again. …Graduate students in particular will find the balance between applications and theory useful, and the minimal amount of formulae used means the book should be useful for students from a variety of disciplines. The well-motivated homework problems are interesting and sufficiently complex that students at all levels will be able to learn something from them. (Journal of Statistical Software, March 2010, Vo. 33, Book Review 3)Simon Sheather, A Modern Approach to Regression With R 978-0-387-09607-0The author states that 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. The primary focus is on examining statistical and graphical methods for assessing whether or not the model upon which one desires to draw inferences is valid. … the examples…will have appeal to the students due to the variety of the techniques motivated by the datasets. The author has included numerous graphs and descriptions with associated flow charts to assist the student in 'visualizing' the process one should take when modeling data using regression models. I found that the book was …very readable and that the graphics were …useful in the analysis of the problem under consideration. The book is also the 'right size' with enough but not too much content. Personally, I was pleased not to see the voluminous R code that 'litters' many of the books that are 'with R.' I was also pleased that some of the characteristic R output has been minimized and reformatted to improve the appearance of the text. …One of the aspects I found most appealing is that which is not found in the book. The supplementary material given on the author's webpage is potentially very useful. The R code that was used to create the graphs and output in the book is provided in a separate document. This supplement will be very useful to the student who is learning R. In addition, there are similar documents that use SAS and STATA. I have found that having code to address a specific statistical problem is a very effective way for a student to learn a statistical software package. The author's supplementary material using all three packages will provide an effective means for a student to learn multiple software packages without having to spend valuable classroom time and instructor supervision. (The American Statistician, August 2010, Vol. 64, No. 3), This book fills an important niche in the regression textbook by providing a data-centered approach strong on graphics. …I am particularly interested in teaching regression to undergraduates, and I used this book one term in an introduction to applied regression course. …It is a book I will use again. …Graduate students in particular will find the balance between applications and theory useful, and the minimal amount of formulae used means the book should be useful for students from a variety of disciplines. The well-motivated homework problems are interesting and sufficiently complex that students at all levels will be able to learn something from them. (Journal of Statistical Software, March 2010, Vo. 33, Book Review 3) Simon Sheather, A Modern Approach to Regression With R 978-0-387-09607-0 The author states that 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. The primary focus is on examining statistical and graphical methods for assessing whether or not the model upon which one desires to draw inferences is valid. … the examples…will have appeal to the students due to the variety of the techniques motivated by the datasets. The author has included numerous graphs and descriptions with associated flow charts to assist the student in 'visualizing' the process one should take when modeling data using regression models. I found that the book was …very readable and that the graphics were …useful in the analysis of the problem under consideration. The book is also the 'right size' with enough but not too much content. Personally, I was pleased not to see the voluminous R code that 'litters' many of the books that are 'with R.' I was also pleased that some of the characteristic R output has been minimized and reformatted to improve the appearance of the text. …One of the aspects I found most appealing is that which is not found in the book. The supplementary material given on the author's webpage is potentially very useful. The R code that was used to create the graphs and output in the book is provided in a separate document. This supplement will be very useful to the student who is learning R. In addition, there are similar documents that use SAS and STATA. I have found that having code to address a specific statistical problem is a very effective way for a student to learn a statistical software package. The author's supplementary material using all three packages will provide an effective means for a student to learn multiple software packages without having to spend valuable classroom time and instructor supervision. (The American Statistician, August 2010, Vol. 64, No. 3), "This book fills an important niche in the regression textbook by providing a data-centered approach strong on graphics. ...I am particularly interested in teaching regression to undergraduates, and I used this book one term in an introduction to applied regression course. ...It is a book I will use again. ...Graduate students in particular will find the balance between applications and theory useful, and the minimal amount of formulae used means the book should be useful for students from a variety of disciplines. The well-motivated homework problems are interesting and sufficiently complex that students at all levels will be able to learn something from them." (Journal of Statistical Software, March 2010, Vo. 33, Book Review 3) Simon Sheather, A Modern Approach to Regression With R 978-0-387-09607-0 "The author states that 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. The primary focus is on examining statistical and graphical methods for assessing whether or not the model upon which one desires to draw inferences is valid. ... the examples...will have appeal to the students due to the variety of the techniques motivated by the datasets. The author has included numerous graphs and descriptions with associated flow charts to assist the student in 'visualizing' the process one should take when modeling data using regression models. I found that the book was ...very readable and that the graphics were ...useful in the analysis of the problem under consideration. The book is also the 'right size' with enough but not too much content. Personally, I was pleased not to see the voluminous R code that 'litters' many of the books that are 'with R.' I was also pleased that some of the characteristic R output has been minimized and reformatted to improve the appearance of the text. ...One of the aspects I found most appealing is that which is not found in the book. The supplementary material given on the author's webpage is potentially very useful. The R code that was used to create the graphs and output in the book is provided in a separate document. This supplement will be very useful to the student who is learning R. In addition, there are similar documents that use SAS and STATA. I have found that having code to address a specific statistical problem is a very effective way for a student to learn a statistical software package. The author's supplementary material using all three packages will provide an effective means for a student to learn multiple software packages without having to spend valuable classroom time and instructor supervision." (The American Statistician, August 2010, Vol. 64, No. 3)
Number of Volumes
1 vol.
Illustrated
Yes
Dewey Decimal
519.536
Table Of Content
Simple Linear Regression.- Diagnostics and Transformations for Simple Linear Regression.- Weighted Least Squares.- Multiple Linear Regression.- Diagnostics and Transformations for Multiple Linear Regression.- Variable Selection.- Logistic Regression.- Serially Correlated Errors.- Mixed Models.
Synopsis
This book focuses on tools and techniques for building valid regression models using real-world data. A key theme throughout the book is that it only makes sense to base inferences or conclusions on valid models., 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.
LC Classification Number
QA273.A1-274.9
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Seller feedback (45,149)
- j***b (107)- Feedback left by buyer.Past 6 monthsVerified purchaseA+++++ Seller! Professor's syllabus listed the wrong book for the course, and told us of the mistake the first day of class. Contacted seller textbooks_source ASAP, and they were able to stop and refund the first order. I then purchased this textbook as the correct book for the course. Textbook received as described. This is a great seller. I would (and did) purchase from again. A++++++!!!!!!!
- 6***4 (455)- Feedback left by buyer.Past monthVerified purchaseVery nice book on Amy Carmichael, an Irish Christian missionary and writer. Book arrived in brand new condition. Very good price - value for money. Shipping was secure and item well packaged. Delivery from U.S. to Singapore took 25 days. Seller was responsive & helpful to enquiry.
- -***i (203)- Feedback left by buyer.Past monthVerified purchaseVery happy with my purchase. The book arrived in very good condition as described in the seller's posting. The price of the book and the shipping cost were very reasonable. The seller was careful to package the book to prevent damage during shipping. All good!