Raymond L. Chambers, David G. Steel, Suojin Wang, Alan Welsh

Maximum Likelihood Estimation for Sample Surveys (eBook, PDF)

• Format: PDF

Produktbeschreibung

Sample surveys provide data used by researchers in a large range of disciplines to analyze important relationships using well-established and widely used likelihood methods. The methods used to select samples often result in the sample differing in important ways from the target population and standard application of likelihood methods can lead to

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 391
• Erscheinungstermin: 2. Mai 2012
• Englisch
• ISBN-13: 9781420011357
• Artikelnr.: 39485892

Autorenporträt

Raymond L. Chambers, David G. Steel, Suojin Wang, Alan Welsh

Inhaltsangabe

Introduction. Maximum likelihood theory for sample surveys. Alternative
likelihood-based methods for sample survey data. Populations with
independent units. Regression models. Clustered populations. Informative
nonresponse. Maximum likelihood in other complicated situations.