Customer Reviews

Modelling Binary Data, Second Edition (Chapman & Hall/CRC Texts in Statistical Science)

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

 

 

Probably the best in its class, Dr. Collet's work is among those books that contain a great deal of information and clarity. It deals with model building with binary data. A vey good explanation on the rationale behind maximum likelihood aproach to parameter estimation, it also shows the application of the asimptotic properties of the most commonnly used models for cross tabulated data.
I hold a Ph.D. in agronomy and plant breeding, and this volume certainly gave me a good start for analyzing binary responses. Lots of examples help in understanding the theory. A 5 stars without any doubt.

This is an excellent volume on how one should tackle binary data. Whether you have previous experience on this type of data or not, one can learn a lot on the subject with this book.

It was written in an easily understood way so that one can really follow the examples and have a real go at one's own data while consulting the book.

As a former student of Prof. Collett I recall how clear his presentation as well as lecture notes had always been on even the most complicated subject he taught. I treaure this volume very much.

This text is perhaps one of the best for what it aims to do. There is so much here for the applied statistician / modeler that you can't help but pick up something new.

The treatment on graphical analysis of logistic regression residuals is extremely well done and very well presented. I have yet to find a better treatment that collects the constructed, added variable and partial residual plots (among other techniques) and ties them together in a single chapter.

Again, there is a -lot- of information here for practicing modelers to pour through. Definitely give this one a look, read the excerpts and judge for yourself. I have no complaints and love this book. My only regret is that I didn't get it sooner.

Dr. Collett draws together material on many aspects of analysis of binary data. But the author can't organize and express them in statistics language.