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Rating: 
Summary: Excellent Intermediate Level
Review: 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.
Rating:
Summary: an excellent self-learning guide to modelling binary models
Review: 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.
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