Synopses & Reviews
Models and likelihood are the backbone of modern statistics and data analysis. The coverage is unrivaled, with sections on survival analysis, missing data, Markov chains, Markov random fields, point processes, graphical models, simulation and Markov chain Monte Carlo, estimating functions, asymptotic approximations, local likelihood and spline regressions as well as on more standard topics. Anthony Davison blends theory and practice to provide an integrated text for advanced undergraduate and graduate students, researchers and practicioners. Its comprehensive coverage makes this the standard text and reference in the subject.
"Davison provides sound statistical tools to tackle applications in a concise, succinct tutelage, yet without abandoning mathematical sophistication or detail...a wonderfully rich treatise of cleverly attended-to examples and charming asides...we actually learned a lot and deepened our understanding of many topics."
"The volume presents a comprehensive treatment of modern parametric statistical inference. The exposition is concise; instead of giving detailed (technical) proofs, the author prefers to sketch the underlying concepts and gives references, if necessary. The numerous examples are taken from a variety of fields and are lively discussed. The book is accompanied by practical analyses in S or R that can be downloaded from the author's website and make it even more useful, also for teaching purposes...I highly recommend this book to anyone who is seriously engaged in the statistical analysis of data or in teaching statistics."
"I like this book a lot. It is really a pleasure to read. The 700 pages offer a good initial synopsis of what is going on in modern statistics. The book is lively, full of data, and packed with ideas. The author has put a lot of energy, effort, care, and intellectual input into the book. I would definitely recommend this text, both to students and to colleagues."
The American Statistician
"Anybody who is seriously involved in the theory or practice of statistics would be well advised to ensure that they have access to a copy."
International Statistical Institute
"...comprehensive and well written...an excellent reference book for health researchers who are unfamiliar with details of any statistical methodology."
Ramalingam Shanmugam, Texas State University
Gives an integrated development of models and likelihood that blends theory and practice.
Table of Contents
1. Introduction; 2. Variation; 3. Uncertainty; 4. Likelihood; 5. Models; 6. Stochastic models; 7. Estimation and hypothesis testing; 8. Linear regression models; 9. Designed experiments; 10. Nonlinear regression models; 11. Bayesian models; 12. Conditional and marginal inference.