In All Likelihood: Statistical Modelling and Inference Using Likelihood

In All Likelihood: Statistical Modelling and Inference Using Likelihood

Yudi Pawitan


in line with a direction within the thought of information this article concentrates on what might be completed utilizing the likelihood/Fisherian approach to taking account of uncertainty whilst learning a statistical challenge. It takes the concept that ot the possibility as delivering the simplest tools for unifying the calls for of statistical modelling and the idea of inference. each chance thought is illustrated by means of lifelike examples, which aren't compromised through computational difficulties. Examples diversity from a simile comparability of 2 twist of fate charges, to complicated reports that require generalised linear or semiparametric modelling.

The emphasis is that the chance isn't really easily a tool to supply an estimate, yet an enormous device for modelling. The publication usually takes an off-the-cuff technique, the place most crucial effects are proven utilizing heuristic arguments and encouraged with lifelike examples. With the at the moment on hand computing strength, examples will not be contrived to permit a closed analytical resolution, and the publication can pay attention to the statistical elements of the information modelling. as well as classical probability thought, the booklet covers many glossy subject matters comparable to generalized linear types and combined types, non parametric smoothing, robustness, the EM set of rules and empirical likelihood.

Show sample text content

Download sample