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



Autorentext

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



Inhalt

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.

Titel
Maximum Likelihood Estimation for Sample Surveys
EAN
9781420011357
Format
E-Book (pdf)
Veröffentlichung
02.05.2012
Digitaler Kopierschutz
Adobe-DRM
Dateigrösse
3.45 MB
Anzahl Seiten
391