Customer Reviews

Applied Linear Statistical Models w/Student CD-ROM

5 star:		(10)
4 star:		(5)
3 star:		(1)
2 star:		(3)
1 star:		(2)

 

 

This book if not for business majors , engineering students and psycology students.

This is an EXCELLENT book for statistics undergrad/grad and PhD students.
I spent over 10 hours weekly just reading the book every week. Plus my assignments will take another 10 hours . So be prepared for a 20 hr week.
YOU NEED TO TAKE A BASIC STAT / INTRO STAT course before this. If you dont know the meaning of P-values , T-test , F-test , DO NOT TAKE THIS COURSE. This book will not introduce you to those things. Unfortunately many buiness schools ( including top 10 ) dont offer a good intro stat course, so buiness majors jumping in to this course is a wrong idea.

This book is also a "good to own book". The first 15 or so chapters has regression and the second half ( next 15 chapters ) has DOE (design of experiments). GREAT BOOK !

One piece of advice - make sure you learn to use SAS with this course . In real world applications many industries are using SAS. Even if your teacher insists on using R package / splus , YOU MAKE SURE YOU know how to do those things in SAS . There is a SAS student manual with this book, specially written for this book . buy it ISBN - 0-07-302177-6

good luck !

I would like to point out that these authors have two books with similar titles. One is Applied Linear Regression Models which is in the 4th edition. The other is Applied Linear Statistical Models which is in the 5th edition. The statistical models book covers more than linear regression.

Both are excellent.

This is actually a pretty good book for a first course in regression analysis, examples are easy to understand and detailed.

The only bad thing about this book is its price, I also bought the Applied Linear Statistical Models from my friend. He told me that book cost less than this one and it is. That book includes all the pages this book has but with 2nd half of the book on experimental design topics. It's 2 times thicker but much cheaper, and by the same author. Just the publisher that is different.

If it wasn't that pricy, I would give a 5.

If you are going to spend money, buy the best. This book is the best and IS the standard. I'd consider this the "Gray's Anatomy" of Applied Linear Statiscal Models (i.e. Design of Experiments, Regression, hypothesis testing).

This book is geared for an entry level masters or 400 level student. If you don't fall into this category, this could be worthwhile, just know you'll need to put more time in to learn the material...or...you could get a book geared toward your level. Vardeman's applied statistics for engineers would be one that comes to mind for subject matter that is geared for knowledge below KNNW's Applied Linear Statistical Models.

Bottom line is that this is a must have in anyone's library who is going to do statistical analysis using linear models. It's one of my (and most of my co-workers) go to books if we need to refresh on a quick method to approach a problem.

All in all, it covers all the basics and for the money is a great applied book.

I used this book for my statistic class. After thoroughly reading this book, I become quite familiar with the subject matter.

1. The explanations in most parts are so clear and easy to understand. A few small sections are difficult, but they are not essential topics for this book. If you think the book is not intuitive, use Peter Kennedy's A Guide to Econometrics (5th edition) as complementary reading.

2. You can find all the corresponding SAS programs on the Internet. Do the exercises with SAS, otherwise you will learn nothing. If you don't know SAS, read Delwiche and Slaughter's The Little SAS Book (3rd edition) or SAS Online Tutor for Base Programming.

3. If you are not familiar with basic statistic concepts, read the appendices of the book first.

4. The book is sufficient and easily understood for what it contains. If you want more and deeper information, use other books to complement it.

This is the textbook for my applied linear model course. The book itself fits most ordinary students, whether they are in stat or non-stat majors. Just be sure you have the prerequisites such as basic stat concepts and techniques. It's thick. Text is not short. Well organized though.
If you care about money, don't buy the US version Applied Linear Statistical Models. Just go somewhere else and grab the international version. It's the same...and much cheaper...comes with CD and wrapped...

Among books on this topic, this one is pretty good. For those that may not have obtained the material sequentially, the appendix is recommended. I can see some giving it lower marks, as it does not fully treat the topic in terms of matrices. I however, prefer that. There is a one chapter that does go through the matrix math as a review.

I do wish there was a companion answer key for all of the problems in the book. Also, at times, a few of the problems are a bit contrived in the sense that the answer was so odd that you couldn't tell if it was the answer you were suppose to get or if you'd run the regression incorrectly.

I bought this book because I needed it for a class, and I have only used it a few times for the class. It's hard to learn stats from a textbook unless you start at the beginning, but this book is useful to accompany a previously-knowledgeable statistics mind seeking to learn more about regression.

Great book, but probably will not help a rookie to self-teach regression.

If you want to have a good statistical background for research this is the book you need. Well written easy to understand with lots of examples and questions with answers. Has an accompanying solution manual for SAS and SPSS. Fantastic product

Cons:
- the book is ridiculously expensive
- there is no decent answer guide (This is its biggest fault)
- some explanations are really thin (The Working-Hotelling confidence band coverage was weak, for example)

Pros:
- If you read carefully, this book clearly explains most everything you want to know.

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After studying half of this book, and reading maybe 3/4 of it, I'm coming away from it with a practical ability to do simple regression analysis on real-world data. It's truly rare (for me anyhow) to get real-world applicable skills from a textbook, so I think the authors have done a good job.

I recommend you spend the time to learn one or more statistical software packages as you go along and implement all of what's being covered in the book. I'm working through this text with R, SAS, and python, and it wouldn't be anywhere near as practical an exercise without learning the tools that let you easily apply the theory.

On a negative note, as a class text and problem-solving guide I fault the text heavily for not having a decent answer guide. I think offering problems with no way to check any of your work does a great disservice to learners.

But all in all, the text is quite decent.

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Finally, all of the reviews under 4 stars (as of November 22nd, 2011) are either entirely about the 3rd party shipper or are from students who were uninterested in the material. If you're interested in learning the material and you order from Amazon, you wont have their problems.