Your rating(Clear)Rate this item


There was a problem filtering reviews right now. Please try again later.

10 of 11 people found the following review helpful
on February 14, 2009
This book is the most well-written textbook in Regression Analysis that i've ever read. This book can be used with any stat software in the market today. The exercise in the text can be done with SAS, SPSS, Minitab, etc., to name a few. The book clearly explains the formulas and summarizes them in boxes which make it easier to look back. The level of presentation of the materials is written with a minimum background of Algebra. Knowledge of basic statistics is important of course to be able to understand some of the concepts pertaining to statistical test and confidence intervals. In the appendix, derivation of formulas, linear algebra background, and sample applications in several studies are well presented. I would surely recommend this book as textbook in both undergarduate statistics class, as well as graduate classes in applied statistics.
0CommentWas this review helpful to you?YesNoSending feedback...
Thank you for your feedback.
Sorry, we failed to record your vote. Please try again
Report abuse
5 of 5 people found the following review helpful
VINE VOICEon February 17, 2013
I would give this book 4.5 stars.

If you are looking to improve your understanding and application of regression, then you should look no further.

The book successfully explains regression from the very basic statistics to complex non-linear regression models.

What sets this book apart, in my opinion are the 7 Case Studies. They are excellent in providing the type of questions regression can answer and the details in the answers are the best explanations of regression I have ever read.

The book comes with a CD that has all the data in the Cases and examples & problems.

All the data comes in SPSS, MINITAB, Text, SAS, RDATA, and CSV formats. The book's statistical outputs, however, are mostly written in MiniTab. So I doubly recommend this book who are familiar or wants to be familiar with Minitab.

I do not recommend this as the first book on statistics. But I highly recommend this book to anyone who wants to learn regression, which should be the vast majority of the science, engineering, and PhD students.

Pros:
1)Lucid explanations of basic to complex regression concepts.
2)Awesome Case Studies (7 of them).
3)Fairly comprehensive

Cons:
1)Some of the equations were non-standard. For example the author uses SSxx or SSxy. I interpreted those as Var(X) or Var(X+Y). It turns out, they were not.
2)The book hardly covers the confidence interval of the error term and how to obtain the probability of Y|X.
0CommentWas this review helpful to you?YesNoSending feedback...
Thank you for your feedback.
Sorry, we failed to record your vote. Please try again
Report abuse
6 of 6 people found the following review helpful
on June 12, 2009
The examples are old but the content is well organized and overall easy to understand. If you want to learn by yourself, this is the book for you
0CommentWas this review helpful to you?YesNoSending feedback...
Thank you for your feedback.
Sorry, we failed to record your vote. Please try again
Report abuse
6 of 7 people found the following review helpful
on February 23, 2010
The review section of chapter 1 is almost like a course in itself, making it a great "refresher," while at the same time small enough to add to the book as a whole without being intrusive into what the book is really about - regression. I would recommend this to any student or instructor.
0CommentWas this review helpful to you?YesNoSending feedback...
Thank you for your feedback.
Sorry, we failed to record your vote. Please try again
Report abuse
1 of 1 people found the following review helpful
on February 18, 2013
I am currently using this book in my regression analysis class in college. So far we have covered through Chapter 5, and the book has been helpful, and actually a fairly easy read. For our class we are using R, and the cd in the back of the book allows us to read the data off of the cd, and use it with R. My last statistics class used Design and Analysis of Experiments 8th edition, and to me, this book was a lot more helpful when trying to read and comprehend the material on my own. I've been able to read ahead without feeling like I was getting lost or confused at all. The book also does a great job of referencing problems that have already been done, and applying new techniques to them. For example, you might do a problem early in Chapter 3, then later on you learn confidence intervals for each parameter in the problem, and later on you will have a question asking you to calculate those CI's and interpret them for your previous problem. It is a great way to get insight into what is going on, and really helped me when I was working these problems out. I've only done 2 of the case studies so far, but they have been extremely helpful.

I will make sure to update this post after I have finished the course. We will be covering through Chapter 9.
0CommentWas this review helpful to you?YesNoSending feedback...
Thank you for your feedback.
Sorry, we failed to record your vote. Please try again
Report abuse
1 of 1 people found the following review helpful
on July 2, 2013
I got this e-book for my summer class. Good thing: delivery. You get it in seconds. Cons: you dont get any of the data or other information contained in the book cd. Thats bad because many problems are solved using this data. Other not very nice thing to say you must have a kindle fire.... thats not nice at all, especially when this book is 99% black and white.

The book is really good. Amazons kindle version not that much... I recomend getting a used one instead, at least when it comes to stats.
0CommentWas this review helpful to you?YesNoSending feedback...
Thank you for your feedback.
Sorry, we failed to record your vote. Please try again
Report abuse
on February 3, 2013
Overall I think this book is very good at explaining issues in basic regression analysis. However, it had several topics listed in the table of contents (such as ridge regression and others) that were discussed at a topical level and did not go deep enough for what I hoped for. The author stated that detailed discussion of several of these techniques were beyond the scope of the book. Nevertheless, the book does a good job within its scope.
0CommentWas this review helpful to you?YesNoSending feedback...
Thank you for your feedback.
Sorry, we failed to record your vote. Please try again
Report abuse
on September 19, 2014
Bought use so the book was missing the CD but can get it online. The book itself is difficult to understand and complex in layout and presentation. Not ideal for undergrad understanding.
0CommentWas this review helpful to you?YesNoSending feedback...
Thank you for your feedback.
Sorry, we failed to record your vote. Please try again
Report abuse
on October 10, 2014
Great product. I had previous not rated so good due to not receiving return instructions, but now I have them. Great.
0CommentWas this review helpful to you?YesNoSending feedback...
Thank you for your feedback.
Sorry, we failed to record your vote. Please try again
Report abuse
on March 27, 2015
Considering the content, the author put a lot of time and effort to make the book interesting and easy to read.
0CommentWas this review helpful to you?YesNoSending feedback...
Thank you for your feedback.
Sorry, we failed to record your vote. Please try again
Report abuse

Send us feedback

How can we make Amazon Customer Reviews better for you?
Let us know here.