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Introduction to Likelihood-based Estimation and Inference

Introduction to Likelihood-based Estimation and Inference

331 kr

331 kr

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On., 22 jan. - ma., 27 jan.


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14 dagers åpent kjøp


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Adlibris


Produktbeskrivelse

Introduction to Likelihood-Based Estimation and Inference provides a thorough and self-contained introduction to statistical modelling within the framework of the likelihood function.

Based on worked-through examples, the book presents the main principles for estimation of parameters using the likelihood approach, the principles for applying basic probability theory to characterize the stochastic properties of estimators and test statistics, as well as ideas for basic model control and misspecification testing. Examples include models for Bernoulli trials, models for Poisson count data, and the linear regression model as a special case of the likelihood analysis of a Gaussian model.

The book also introduces numerical optimization of the likelihood function, which provides the tools for building and analyzing more complicated – and empirically relevant – cases.

 

Artikkel nr.

c61aee18-81a5-4cbc-868a-c74c6e8c427e

Egenskaper

Språkversjon

Dansk

Antall sider

208 sider

Utgivelsesdato (DD/MM/ÅÅÅÅ)

3/23/2017

International Standard Book Number (ISBN)

9788741269047

Introduction to Likelihood-based Estimation and Inference

331 kr

331 kr

På lager

On., 22 jan. - ma., 27 jan.


Sikker betaling

14 dagers åpent kjøp


Selges og leveres av

Adlibris