List price: $11.95 (that's 20% off!)
List price: $15.00 (that's 30% off!)
List price: $11.95 (that's 20% off!)
Cochrane is much much better (but it is only about asset pricing).
Despite such idiosyncracies, the book's good and well worth its surprisingly low price.
It is an great introduction to the field and an excellent source for students interested in developing skills for modeling financial problems in an economic context. However, since it is not aimed for undergraduate/MBA students, it lacks intuitive explanation of the subjects - which for the target user is not really needed.
So if you are an undergraduate/MBA student, I would suggest you not to buy this book. However, if you are Phd student in economics and finance, this is a must buy.
The biggest change appears to be the expansion of Chapter 8 from 6 sections to 16 with p-values introduced and explained in various contexts and type I and type II errors introduced one chapter earlier. The introduction of hypothesis testing along with estimation occurs in Chapter 8. This may be helpful to instructors if they tend to strictly follow the order in the text. Chapter 9 is somewhat shorter. These two chapters are now organized by one and two sample problems rather than by estimation and testing. It is not clear to me that this is a better way to organize and introduce the material.
In the end, the text is only 15 pages longer than the third edition and there are no new chapters. There seem to be fewer exercises overall.
Although there are noticeable differences in Chapters 8 an 9, there is very little difference in the other chapters. Most of the exercises are the same (with a few deleted from the new edition).
The authors claim to put more emphasis on the use of computers to solve problems. But this is not easily discernable. I only noticed some brief mention of SPSS version 9 in the ANOVA chapter.
As a primer for statistics, this one falls a little short.
The downside to the book is that Kuzma is not a professional statistician and hence there are occasional technical errors and poor exposition of techniques.
Even given these shortcomings, it is the best currently available book at this level. At a slightly higher graduate level, I would recommend Altman's book "Practical Statistics for Medical Research".
List price: $18.95 (that's 30% off!)