In All Likelihood: Statistical Modelling and Inference Using Likelihood
| Author | : | |
| Rating | : | 4.11 (564 Votes) |
| Asin | : | 0199671222 |
| Format Type | : | paperback |
| Number of Pages | : | 544 Pages |
| Publish Date | : | 2016-09-14 |
| Language | : | English |
DESCRIPTION:
Yudi Pawitan is a Professor in the Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Sweden
The book generally takes an informal approach, where most important results are established using heuristic arguments and motivated with realistic examples. Every likelihood concept is illustrated by realistic examples, which are not compromised by computational problems. With the currently available computing power, examples are not contrived to allow a closed analytical solution, and the book can concentrate on the statistical aspects of the data modelling. Examples range from a simile comparison of two accident rates, to complex studies that require generalised linear or semiparametric modelling. The emphasis is that the likelihood is not simply a device to produce an estimate, but an important tool for modelling. It takes the concept ot the likelihood as providing the best methods for unifying the demands of statistical modelling and the theory of inference. In addition to classical likelihood theory, the book covers many modern topics such as generalized linear models and mix
"This is a splendid book with its contents thoroughly covering all likelihood Statements are firm, and explanations are full and clear. It is strongly recommended as an academic library volume, and individually for statistics lecturers, advanced students, and researchers." --The Mathematical Gazette"To those of us to whom it is a continuing irritation to be told that there are only two kinds of statisticians, freqentist and Bayesian, this book will come as an enormous relief a remarkable book, which deserves the widest distribution; I hope it will gain
Dr. Charles Saunders said Just a Great Book. For a non-measure theoretic, applied stat text this is the best one you can buy - by far. Excellent examples (superb discussion of sufficiency and the invariance principle) and all the R Code. Great for self-study or the advanced undergrad/beginning grad classroom.. Excellent book---well worth the money JVerkuilen I first heard about this book in 2006 at the International Meeting of the Psychometric Society (in Montreal) from a colleague. I ordered it from Amazon the day I heard about it from one of the conference computers. It's great and I've found examples in it for teaching plus a lot of things that I simply didn't know, didn't remember, or didn't really understand the firs. Statistical Modelling and Inference for this Century Ingrid Baade I used "In All Likelihood" as a basis for the 13 week 3rd year Mathematical Statistics/ Statistical Inference course I have almost finished teaching. Finding this book at Amazon was my very good fortune. It is exactly the way I would have tried to write such a course but I couldn't have done as good a job as Pawitan.I like this book because it covers all the theory, s