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.
|Published (Last):||27 July 2014|
|PDF File Size:||2.74 Mb|
|ePub File Size:||19.36 Mb|
|Price:||Free* [*Free Regsitration Required]|
Lukelihood, Probability, and Causation. Maya Syukrila marked it as to-read Sep 27, 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.
In All Likelihood
Every liklihood concept is illustrated with realistic examples ranging from a simple comparison of two accident rates to complex studies that require generalized linear or semiparametric modeling.
Some stats textbooks just list facts, but Yudi is actively thinking about statistics and likelihhood we are to understand the concept of likelihood and probability. B Moses marked it as to-read Feb 03, Likelihood of random parameters Continue shopping Checkout Continue shopping.
Examples range from a simile comparison of two accident rates, to complex studies that require generalised linear or semiparametric modelling. Mathusuthan Kannan marked it as to-read Jul 10, Poppy Miller marked it as to-read May 11, January 17, Imprint: Overall rating No ratings yet 0.
Stochastic Reliability and Maintenance Modeling. Jayne Dough added it Aug 11, Elements of likelihood inference. Would you like us to take another look at this review?
In All Likelihood – Paperback – Yudi Pawitan – Oxford University Press
Aventis rated it really liked it Jul 29, Dealing with nuisance parameters The book generally takes an informal approach, where most important results are established using heuristic arguments and motivated with realistic examples. Semba Sherehe marked it as to-read Nov 15, Other editions – View all In All Likelihood: We appreciate your feedback.
Goodreads helps you keep track of books you want to read. The emphasis is on the likelihood is not simply a device to produce an estimate, but an important tool for modelling. It takes the concept of the liklihood as the best method for unifying the demands of statistical modeling and theory of inference.
In All Likelihood: Statistical Modelling and Inference Using Likelihood
At Kobo, we try to ensure that published reviews do not contain rude or profane language, spoilers, or any of our reviewer’s personal information. Cause and Correlation in Biology.
Test added it Jul 03, Shaun rated it liked it Jul 27, Generalized, Linear, and Mixed Models. Trivia About In All Likelihood Manuela Braione added it Oct 20, Andrea rated it really liked it Mar 21, Eddie Bell rated it it was amazing Feb 27, Close Report a review At Kobo, we try to ensure that published reviews do not contain rude or profane language, spoilers, or any of our reviewer’s personal information.
Dennis rated it it was amazing May 03, Oxford University Press is a department of the University of Oxford.
Lukas marked it as to-read Jul 03, Mr Nicholas Walton rated it really liked it Jul 18, Or, get it for Kobo Super Points! You submitted the following rating and review.
Bayesian Statistics 9 Jose M. In addition to classical likelihood theory, the book covers many modern topics such as generalized linear models and mixed models, non parametric smoothing, robustness, the EM algorithm and empirical likelihood.
Selected pages Title Page.
In All Likelihood: Statistical Modelling and Inference Using Likelihood by Yudi Pawitan
Open Preview See a Problem? Lots of material, etc. Estimating equation and quasilikelihood. Venkatesh-Prasad marked it as to-read Sep 07, Foundations of Linear and Generalized Linear Models. Examples range from a simile comparison of two accident rates, to complex studies that require generalised linear or semiparametric modelling.
Statistical Modelling and Inference Using Likelihood. I’ll never buy another Google book. Probability and Statistical Theory for Applied Researchers. David Torres marked it as to-read Sep 05,