Publisher:

Chapman & Hall/CRC

Number of Pages:

375

Price:

79.95

ISBN:

9781584886327

Date Received:

Monday, May 28, 2012

Reviewable:

No

Reviewer Email Address:

Series:

Monographs on Statistics and Applied Probability 125

Publication Date:

2012

Format:

Hardcover

Audience:

Category:

Monograph

**Introduction**Nature and role of sample surveys

Sample designs

Survey data, estimation and analysis

Why analysts of survey data should be interested in maximum likelihood estimation

Why statisticians should be interested in the analysis of survey data

A sample survey example

Maximum likelihood estimation for infinite populations

Bibliographic notes

Maximum likelihood using survey data

Illustrative examples with complete response

Dealing with nonresponse

Illustrative examples with nonresponse

Bibliographic notes

Pseudo-likelihood

Sample likelihood

Analytic comparisons of maximum likelihood, pseudolikelihood and sample likelihood estimation

The role of sample inclusion probabilities in analytic analysis

Bayesian analysis

Bibliographic notes

The score and information functions for independent units

Bivariate Gaussian populations

Multivariate Gaussian populations

Non-Gaussian auxiliary variables

Stratified populations

Multinomial populations

Heterogeneous multinomial logistic populations

Bibliographic notes

A Gaussian example

Parameterization in the Gaussian model

Other methods of estimation

Non-Gaussian models

Different auxiliary variable distributions

Generalized linear models

Semiparametric and nonparametric methods

Bibliographic notes

A Gaussian group dependent model

A Gaussian group dependent regression model

Extending the Gaussian group dependent regression model

Binary group dependent models

Grouping models

Bibliographic notes

Nonresponse in innovation surveys

Regression with item nonresponse

Regression with arbitrary nonresponse

Imputation versus estimation

Bibliographic notes

Likelihood analysis under informative selection

Secondary analysis of sample survey data

Combining summary population information with likelihood analysis

Likelihood analysis with probabilistically linked data

Bibliographic notes

Publish Book:

Modify Date:

Monday, May 28, 2012

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