Customer Reviews

Applied Regression Analysis (Wiley Series in Probability and Statistics)

5 star:		(6)
4 star:		(0)
3 star:		(1)
2 star:		(1)
1 star:		(1)

 

 

Draper and Smith have long had a reputation for an outstanding book on regression analysis written at an elementary to intermediate level. I have long had a copy on my bookshelf and continue to purchase the revisions. They are careful to keep the book current by always incorporating new advances. This edition includes many of the recent advances in regression diagnostics as well as a description of the bootstrap approach to regression problems. Those interested in regression graphics should consult the book by R. Dennis Cook. More on the bootstrap can be found in my book "Bootstrap Methods: A Practitioner's Guide" or the other fine books by Efron and Tibshirani, Davison and Hinkley, and Lunneborg.

I used this book for an undergraduate class in college. It was on the bookshelves of most of my Statistics professors (older editions of course). I found it to be a very intuitive and strait forward introduction in Regression Analysis. It contains all the basics needed to understand the bread and butter of Regression.

This book falls into some strange no-mans-land where definitions, proofs, and the underlying statistical theory are skipped, but formulae are stated in a symbolic language complex enough that it is hard to imagine any readers that could understand the book yet not desire more mathematical rigor. The authors do give extensive references to material they don't explain--on the other hand, for $90 most readers probably want the explanations. The authors also present many of their own opinions about the relative merits of certain statistical quantities. While their opinions, based on their years of experience as researchers, may have some merit, all too often they are forced to admit that other researchers, with comparable credentials, have opposing opinions! In that case, why include the opinions _in a textbook_? Debate in scientific journals. Explain in textbooks.

The organization at a chapter level is clear enough, but within chapters the exposition is ad-hoc. This is probably a side effect of the authors' commitment to eliminating explanations and proofs--there's no need to organize since they are just enumerating formulae and opinions.

This book is severely outdated to the point that it cannot serve any audience. Simply reading this book and noting phrases such as computations which can be carried out on a "pocket calculator" or these procedures typically require specialized programs to be "run on a computer" indicate how severely outdated this book is.

Those wanting a modern applied book focusing in data analysis (using R or SAS) will be disappointed, and those looking for a baby version of Seber (and Lee) will also be disappointed. A significant disappointment of the book is the lack of focus in setting up ordinary least squares regression, and hence the lack of step-by-step generalization that a fundamental presentation of regression should entail (least squares -> generalized least squares -> iteratively weighted least squares -> robust regression -> generalized linear models).

The book also lacks "good" problems. Most of the problems focus on computations using small matrices and do not focus on proving the easily proven fundamental results. In addition the book takes the habit of stating formulas and not deriving them from the fundamental problem.

Presents regression and the associated statistics in the framework of linear algebra. Useful in its own right; a necessary primer for more advanced material like Kalman filters.

This is a very complete book on regression analysis. Required for all those who use regression in their work. It is very understandable for the applied worker, but take your time in studying it.

I bought this book at very cheep price. Although the book is old, it is good deal for me. Condition of the book is good. NO trouble for receiving the book.

esplains the theory very detaily.
and lots of excercise and solution is included

TYPICS PROBLEM