Maximum Likelihood Estimation for Sample Surveys (Monographs on Statistics And Applied Probability, 125, Band 125) - Hardcover

Chambers, R. L.; Steel, D. G.; Wang, Suojin; Welsh, A.

Hardcover

ISBN 10: 1584886323 ISBN 13: 9781584886327

Verlag: Chapman and Hall/CRC, 2012

Inhaltsangabe

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 biased and inefficient estimates.

Maximum Likelihood Estimation for Sample Surveys presents an overview of likelihood methods for the analysis of sample survey data that account for the selection methods used, and includes all necessary background material on likelihood inference. It covers a range of data types, including multilevel data, and is illustrated by many worked examples using tractable and widely used models. It also discusses more advanced topics, such as combining data, non-response, and informative sampling.

The book presents and develops a likelihood approach for fitting models to sample survey data. It explores and explains how the approach works in tractable though widely used models for which we can make considerable analytic progress. For less tractable models numerical methods are ultimately needed to compute the score and information functions and to compute the maximum likelihood estimates of the model parameters. For these models, the book shows what has to be done conceptually to develop analyses to the point that numerical methods can be applied.

Designed for statisticians who are interested in the general theory of statistics, Maximum Likelihood Estimation for Sample Surveys is also aimed at statisticians focused on fitting models to sample survey data, as well as researchers who study relationships among variables and whose sources of data include surveys.

Über diesen Titel

Über die Autorin bzw. den Autor

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

Details zur Ausgabe

• Verlag: Chapman and Hall/CRC
• Erscheinungsdatum: 2012
• Sprache: Englisch
• ISBN 10: 1584886323
• ISBN 13: 9781584886327
• Einband: Gebundene Ausgabe
• Anzahl der Seiten: 375
• Kontakt zum Hersteller: preigu GmbH & Co. KG; mail@preigu.de; ; Lengericher Landstr. 19; Osnabrück; Niedersachsen; 49078; Deutschland