Introduction to Likelihood-based Estimation and Inference
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Introduction to Likelihood-based Estimation and Inference
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Forlagsbeskrivelse af Introduction to Likelihood-based Estimation and Inference af Heino Bohn Nielsen
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.
Detaljer
Forlag
Gyldendal
Udgave
3
ISBN
9788741269047
Sprog
Dansk
Originalsprog
dan
Sider
208
Udgivelsesdato
23-03-2017
Format
Hæftet
Varenr.
2350309
EAN nr.
9788741269047
Varegruppe
Økonomi
Højde/Dybde (mm)
15
Bredde (mm)
171
Længde (mm)
245
Vægt (g)
397
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