Small area estimation / J.N.K. Rao and Isabel Molina.

Format:

Book

Author/Creator:

Rao, J. N. K., 1937- author.

Molina, Isabel, 1975- author.

Contributor:

Wiley InterScience (Online service)

Alumni and Friends Memorial Book Fund.

Series:

Wiley series in survey methodology

Language:

English

Subjects (All):

Small area statistics.

Sampling (Statistics).

Estimation theory.

Physical Description:

1 online resource (xxix, 441 pages).

Edition:

Second edition.

Place of Publication:

Hoboken, New Jersey : Wiley, [2015]

System Details:

text file

Summary:

Written by two experts in the field, Small Area Estimation, Second Edition provides a comprehensive and up-to-date account of the methods and theory of small area estimation (SAE), particularly indirect estimation based on explicit small area linking models. The model-based approach to small area estimation offers several advantages including increased precision, the derivation of "optimal" estimates and associated measures of variability under an assumed model, and the validation of models from the sample data. Emphasizing real data throughout, the Second Edition maintains a self-contained account of crucial theoretical and methodological developments in the field of SAE. The new edition provides extensive accounts of new and updated research, which often involves complex theory to handle model misspecifications and other complexities. In addition to the information on survey design issues and traditional methods employing indirect estimates based on implicit linking models, Small Area Estimation, Second Edition also features: Additional sections describe an R package for SAE and applications with R data sets that readers can replicate, Numerous examples of SAE applications throughout the book, including recent applications in U.S. Federal programs, New topical coverage on extended design issues, synthetic estimation, further refinements and solutions to the Fay-Herriot area level model, basic unit level models, and spatial and time series models, A discussion of the advantages and limitations of various SAE methods for model selection from data as well as comparisons of estimates derived from models to reliable values obtained from external sources, such as previous census or administrative data, Small Area Estimation, Second Edition is an excellent reference for practicing statisticians and survey methodologists as well as practitioners interested in learning SAE methods. The Second Edition is also an ideal textbook for graduate-level courses in SAE and reliable small area statistics. Book jacket.

Contents:

Direct domain estimation

Indirect domain estimation

Small area models

Empirical best linear unbiased prediction (EBLUP) : theory

Empirical best linear unbiased prediction (EBLUP) : basic area level model

Basic unit level model

EBLUP : extensions

Empirical Bayes (EB) method

Hierarchical Bayes (HB) method.

Notes:

Includes bibliographical references and index.

Electronic reproduction. Hoboken, N.J. Available via World Wide Web.

Description based on online resource; title from digital title page (viewed on August 28, 2015).

Local Notes:

Acquired for the Penn Libraries with assistance from the Alumni and Friends Memorial Book Fund.

Other Format:

Print version: Rao, J. N. K., 1937- author. Small area estimation

ISBN:

9781118735794

111873579X

9781118735855

1118735854

Publisher Number:

99964562397

Access Restriction:

Restricted for use by site license.