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Providing a thorough and comprehensive treatment of sampling theory, methods, and current topics of interest, Sampling Statistics features the latest developments and current practices in survey sampling. The book introduces basic sampling concepts to facilitate the application of model-based procedures to survey samples.
This second edition covers new developments in the analysis of statistical time series since the 1st edition was published in 1976. There is a considerable expansion of material, including added discussion of central limit theorems, estimation and generalized least squares.
This valuable book-length treatment of the field offers coverage of estimation for situations where the model variables are observed subject to measurement error. Included are regression models with errors in the variables, latent variable models, and factor models.
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