Small Area Statistics: An International Symposium / Edition 1by R. Platek
Pub. Date: 02/04/1987
Presents the most recent developments in the theory and practice of small area estimation. Addresses policy issues, population estimation for small areas, theoretical developments, and organizational experiences. Discusses new techniques of estimation, including extensions of synthetic estimation techniques, Bayes and empirical Bayes methods, estimators based on… See more details below
Presents the most recent developments in the theory and practice of small area estimation. Addresses policy issues, population estimation for small areas, theoretical developments, and organizational experiences. Discusses new techniques of estimation, including extensions of synthetic estimation techniques, Bayes and empirical Bayes methods, estimators based on regression and others.
- Publication date:
- Wiley Series in Probability and Statistics - Applied Probability and Statistics Section Series, #213
- Product dimensions:
- 1.38(w) x 2.36(h) x (d)
Table of Contents
Small Area Data: Policy Issues and Technical Challenges (G. J. Brackstone).
POPULATION ESTMATION FOR SMALL AREAS.
Sensitivity Analysis of Local Estimates of Undercount in the 1980 U.S.
Census (E. P. Ericksen & J. B.
Recent Developments in the Regression Method for Estimation of Population for Small Areas in Canada (R. B. P.
Verma & K. G.
Regression Methods and Performance Criteria for Small Area Population Estimation (P. McCullagh & J. V.
Using a Covariate for Small Area Estimation: A Common Sense Bayesian Approach (A. P. Dempster & T. E.
Application of Multivariate Regression to Small Domain Estimation (R. E. Fay).
The Multivariate Components of Variance Model for Small Area Estimation (W. A. Fuller & R. M.
Bayes and Empirical Bayes Approaches to Small Area Estimation (T. W. F.
ORGANIZATIONAL EXPERIENCES WITH SMALL AREA TECHNIQUES.
Using Model-Based Estimation to Improve the Estimate of Unemployment on a Regional Level in the Swedish Labor Force Survey (C.-M.
Kristiansson, & et al.).
Use of Regression Techniques for Developing State and Area Employment and Unemployment Estimates (F. R. Cronkhite).
Sensitivity of Small Area Estimators to Misclassification and Conceptual Differences of Variables (E. B. Dagum, M. A.
Hidiroglou, & M. A.
The Estimation of the Number of Unemployed at the Small Area Level (G. A. Feeney).
Small Area Estimation Research for Census Undercount Progress Report (C. T. Isaki, et al.).
An Evaluation of Small Area Estimation Methods: The Case of Estimating the Number of Nonmarried, Cohabitating Persons in Swedish Municipalities (S. Lundstrom).
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