The Google books version of “In All LIkelihood” is TERRIBLE. I’ll never buy another Google book. With that said, Pawitan’s book is very useful. Lots of material. In All Likelihood: Statistical Modelling and Inference Using Likelihood. Front Cover · Yudi Pawitan. OUP Oxford, Jan 17, – Mathematics – pages. In All Likelihood has 16 ratings and 2 reviews. B said: Some stats In All Likelihood: Statistical Modelling and Inference Using Likelihood Yudi Pawitan.
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It takes the concept of the liklihood as the best method for unifying the demands of statistical modeling and theory of inference. Model Based Inference in the Life Sciences: Diagnostics and Reliability of Pipeline Systems. Privacy, Big Data, and the Public Good. Vianney Mtz marked it as to-read Aug 15, Foundations of Linear and Generalized Linear Models.
Basic models and simple applications.
In All Likelihood
Mathusuthan Kannan marked it as to-read Jul 10, User Review – Flag as inappropriate Since I have a minor visual impairment, I’m pawitaj to buy e-books. Estimating equation and quasi-likelihood B Moses marked it as to-read Feb 03, Would you like us to take another look at this review?
Dec 12, B rated it it was amazing. Overall rating No ratings yet 0. Shaun rated it liked it Jul 27, Books by Yudi Pawitan.
Every likelihood concept is illustrated by realistic examples, which are not compromised by computational problems. The emphasis is that the likelihood is not simply a device to produce an estimate, but an important tool for modelling. 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.
There on no discussion topics on this book yet. Anderson and Robert M. Evidence and the likelihood principle. Robustness of likelihood specification.
You’ve successfully reported this review. Generalized, Linear, and Mixed Models. Large Sample Results Examples range from a simile comparison of two accident rates, to complex studies that require generalised linear or semiparametric modelling. Alfie Fan is currently reading it Oct 07, We appreciate your feedback.
Bayesian Statistics 9 Jose M. Your display name should be at least 2 characters long. Just a moment while we sign you in to your Goodreads account. Evidence and the likelihood principle 8. It takes the concept ot the likelihood as providing the best methods for unifying the demands of statistical Hardcoverpages.
In All Likelihood: Statistical Modelling and Inference Using Likelihood by Yudi Pawitan
The book generally takes an informal approach, where most important results are established using heuristic arguments and motivated with realistic examples. Wenjing marked it as to-read Jan 31, Safari Mazuri marked it as to-read Dec 30, No, cancel Yes, report it Thanks! Carlos added it Aug 09, The emphasis is on liklihood not as just a device used to produce an estimate, but as an important tool for modeling. Test added it Jul 03, It takes the concept ot the likelihood as providing the best methods for unifying the demands of statistical modelling and the theory of inference.