SmallAreaEstimationBiblio.doc
©2010, Timothy G. Gregoire, Yale University
Last revised: September 2010 SMALL AREA ESTIMATION BIBLIOGRAPHY
1973-Present
(Entries 59)
1. Ericksen, E. P. 1973. “A Method for Combining Sample Survey Data and Symptomatic
Indicators to Obtain Population Estimates for Local Areas.” Demography 10(2): 137-160.
2. Ericksen, E. P. 1974. “A Regression Method for Estimating Population Changes of Local
Areas.” Journal of the American Statistical Association 69 (348): 867-875.
3. Gonzalez, M. E. and Hoza, C. 1978. “Small-Area Estimation with Application to
Unemployment and Housing Estimates.” Journal of the American Statistical Association
73(361): 7-15.
4. Fay (III), R. E. and Herriot, R. A. 1979. “Estimates of Income for Small Places: An
Application of James- Stein Procedures to Census Data.” Journal of the American
Statistical Association 74 (366): 269-277.
5. Holt, D., Smith, T. M. F. and Tomberlin. 1979. “A Model-Based Approach to Estimation
for Small Subgroups of a Population.” Journal of the American Statistical Association
74(366): 405-410.
6. Purcell, N. J. and Kish, L. 1979. “Estimation for Small Domains.” Biometrics 35: 365384.
7. Purcell, N. J. and Kish, L. 1980. “Postcensal Estimates for Local Areas (or Domains).”
International Statistical Review 48: 3-18.
8. Gregoire, T. G. 1981. “Local Area Estimation Rules Using Northeastern Forest Survey
Data: Proposals and Guidelines.”
9. Rennolls, K. 1981. “The Total Area of Woodland in Berkshire is…”The Statistician
30(4): 275-287.
10. Särndal, C. E. 1984. “Design-Consistent Versus Model-Dependent Estimation for Small
Domains.”Journal of the American 79(387):624-631.
SmallAreaEstimationBiblio.doc
©2010, Timothy G. Gregoire, Yale University
11. Hidiroglou, M.A., and Särndal, C.E. 1985. “An Empirical Study of Some Regression
Estimators for Small Domains.” Survey Methodology Statistics Canada 11(1): 65-77.
12. Fuller, W.A. 1986. “Small Area Estimation as a Measurement Error
Problem.”Proceedings of Conference on Survey Research Methods in Agriculture.
13. Rao, J.N.K. 1986. “Synthetic Estimators, Spree and Best Model-Based Predictors of
Small Area Means.” Proceedings of Conference on Survey Research Methods in
Agriculture, 1p.
14. Brackstone, G. J. 1987. “Small Area Statistics Issues and Technical Challenges”. John
Wiley & Sons. Inc. HA 29.
15. Cassel, C.-M., Kristiansson, K.-E., Råbäck and Wahlström, S. 1987 “Using ModelBased Estimation to Improve the Estimate of Unemployment on a Regional Level in the
Swedish Labor Force Survey”. John Wiley & Sons. Inc. HA 29 S5775: 141-159.
16. Cronkhite, F.R. 1987. “Use of Regression Techniques for Developing State and Area
Employment and Unemployment Estimates”. John Wiley & Sons. Inc. HA 29 S5775:
160-174.
17. Dagum,E.B., Hidiroglou, M.A. and Morry, M. 1987.“Sensitivity of Small Area
Estimators to Misclassification and Conceptual Differences of Variables”. John Wiley &
Sons. Inc. HA 29 S5775: 175-197.
18. Dalenius, T. 1987. “Discussion”. John Wiley & Sons. Inc. HA 29 S5775: 257-271
19. Dempster, A.P. and Raghunathan, T.E. 1987. “Using a Covariate for Small Area
Estimation: A Common Sense Bayesian Approach”. John Wiley & Sons. Inc. HA 29
S5775: 77-90.
20. Ericksen, E.P. and Kadane, J.B.1987. “Sensitivity Analysis of Local Estimates of
Undercount in the 1980 U.S Census”. John Wiley & Sons. Inc. HA 29 S5775: 23-45.
21. Fay, R.E. 1987. “Application of Multivariate Regression to Small Domain Estimation”.
John Wiley & Sons. Inc.HA 29 S5775: 91-102.
22. Feeney, G.A. 1987. “The Estimation of the Number of Unemployed at the Small Area
Level”. John Wiley & Sons. Inc.HA 29 S5775: 198-218.
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SmallAreaEstimationBiblio.doc
©2010, Timothy G. Gregoire, Yale University
23. Fuller, W.A. and Harter, R.M. 1987.“The Multivariate Components of Variance Model
for Small Area Estimation”. John Wiley & Sons. Inc. HA 29 S5775: 103-123.
24. Isaki, C.T., Shultz, L.K., Smith, P.J., and Diffendal, G.J. 1987. “Small Area Estimation
Research for Census Undercount-Progress Report”. John Wiley & Sons. Inc. HA 29
S5775: 219-238.
25. Lundstöm, S. 1987. “An Evaluation of Small Area Estimation Methods: The Case of
Estimating the Number of Nonmarried Cohabiting Persons in Swedish Municipalities”.
John Wiley & Sons. Inc. HA 29 S5775: 239-251.
26. McCullagh, P. and Zidek, J. V. 1987 “Regression Methods and Performance Criteria for
Small Area Population Estimation”. John Wiley & Sons. Inc. HA 29 S5775: 62-74.
27. Stroud. T.W.F. 1987. Bayes and Empirical Bayes Approaches to Small Area Estimation”.
John Wiley & Sons. Inc. HA 29 S5775: 124-137.
28. Verma, R.B.P and Basavarajappa, K.G. 1987. “Recent Developments in the Regression
Method for Estimation of Population for Small Areas in Canada”. John Wiley & Sons.
Inc. HA 29 S5775: 46-61.
29. Battese, G.E., Harter, R.M. and Fuller, W.A. 1988. “An Error Components Model for
Prediction of County Crop Areas Using Survey and Satellite Data”. Journal of the
American Statistical Association 83(401):28-35.
30. Kott, P. S. 1989. “Robust Small Domain Estimation Using Random Effects Modelling.”
Survey Methodology 15(1): 3-12.
31. Prasad, N.G.N. and Rao, J. N. K. 1990. “The Estimation of the Mean Squared Error of
Small-Area Estimators”. Journal of American Statistical Association 85(409):163-17
32. Singh, A.C.,Stukel, D.M. and Pfeffermann, D. 1993. “Bayesian Versus Frequentist
Measures of Uncertainity for Small Area Estimators.”Journal of Sustainable
Management.
33. Chaudhuri, A. 1994. “Small domain statistics: a review.” Statistica Neerlandica 48(3):
215-236.
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SmallAreaEstimationBiblio.doc
©2010, Timothy G. Gregoire, Yale University
34. Chaudhuri, A. and Maiti, T. 1994. “Borrowing Strength from Past Data in Small Domain
Prediction by Kalman Filtering-A case study.” Communications in Statistics-Theory
Method 23(12):3507-3514.
35. Holt, D. and Holmes, D. J. 1994. “Small Domain Estimation for Unequal Probability
Survey Designs.” Survey Methodology 20 (1):23-31.
36. Singh, M.P., Gambino, J. and Mantel, H. J. 1994. “Issues and Strategies for Small Area
Data.” Survey Methodology 20(1): 3-22.
37. Adhikary, A. K., Chaudhuri, A. and Maiti, T. 1995. “Small Domain Statistics.” Indian
Statistical Institute:42pp.
38. Rao, J. N.K., Choudhry, G. H. 1995. “Small Area Estimation: Overview and Empirical
Study.” Business Survey Methods: (B.G. Cox et. al, eds.), John Wiley & Sons: NY, 527541.
39. Moura, F. A.S. and Holt, D. 1999. “Small Area Estimation Using Multilevel Models.”
Survey Methodology 25(1) 73-80.
40. Prasad, N. G.N. and Rao, J. N. K. 1999. “On Robust Small Area Estimation Using a
Simple Random Effects Model.” Survey Methodology 25(1):67-72.
41. Rivest, L. - P. and Belmonte, E. 2000. “A Conditional Mean Squared Error of Small Area
Estimators.”Survey Methodology, 26(1): 66-78.
42. Brackstone, G. J. 2002. “Strategies and Approaches for Small Area Statistics.” Survey
Methodology 28(2): 117-123.
43. Pfeffermann, D. 2002. “Small Area Estimation-New Developments and Directions.”
International Statistical Review 70(1): 125-143.
44. Singh, S. P., Srivastava, A.K. and Sisodia, B.V.S. 2002. “Evaluation of a synthetic
method of estimation for small areas.” Journal of Applied Statistics 29(8): 1147-1151.
45. Assunção, R. M. 2003. “Space varying coefficient models for small area data.”
Environmetrics 14: 453-473.
46. Opsomer, J.D., Botts, C., Kim, J. Y. 2003. “Small Area Estimation in a Watershed
Erosion Assessment Survey.” Journal of Agricultural, Biological, and Environmental
Statistics 8(2):139-152.
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47. Rao, J. N. K. 2003. “Small Area Estimation.” John Wiley & Sons. 313p.
48. Katila, M. 2006. “Empirical Errors of Small Area Estimates from the Multisource
National Forest Inventory in Eastern Finland”. Silva Fennica 40(4): 729-742.
49. Militino, A.F.,Urgarte, M.D. , Goicoa ,T. and Gonzalez-Audicana, M. 2006. “Using
Small Area Models to Estimate the Total Area Occupied by Olive Trees.” Journal of
Agricultural, Biological, and Environmental Statistics 11(3): 450-461.
50. Andersen, H.-E. and Briedenbach, J. 2007. “Statistical Properties of Mean Stand Biomass
Estimators in a Lidar-Based Double Sampling Forest Survey Design.” IAPRS XXXVI,
PART /W52:8-13.
51. Longford, N. T. 2007. “On standard errors of model-based small-area estimators.” Survey
Methodology Statistics Canada, 33(1): 69-79.
52. Militino, A. F., Urgarte, M. D. and Goicoa, T. 2007. “A BLUP Synthetic versus an
EBLUP Estimator: An Empirical Study of a Small Area Estimation Problem.” Journal of
Applied Statistics 34(2):153-165.
53. Pfeffermann, D., Sverchkov, M. 2007. “Small Area Estimation Under Informative
Probability Sampling of Areas and Within the Selected Areas.” Journal of the American
Statistical Association 102(480): 1427-1439.
54. Opsomer, J.D., Claeskens, G., Ranalli, M. G., Kauermann, G., Breidt, F. J. 2008. “Nonparametric Small Area Estimation Using Penalized Spline Regression.” Royal Statistical
Society 70(1): 265- 286.
55. Torabi, M.and Rao, J. N. K. 2008. “Small area estimation under a two-level model.”
Survey Methodology 34(1): 11-17.
56. Wang, J., Fuller, W. A., Qu, Y. 2008. “Small area estimation under a restriction.” Survey
Methodology 34(1):29-36.
57. Torabi , M., Datta, G. S. and Rao, J. N. K. 2009. “Empirical Bayes Estimation of Small
Area, Means under a Nested Error Linear Regression Model with Measurement Errors
in the Covariates.” Scandinavian Journal of Statistics 36: 355-368.
58. Jiang, J., Nguyen, T., Sunil Rao, J. 2010. “Fence method for nonparametric small area
estimation.” Survey Methodology 36(1): 3-11.
59. Pfeffermann, D. 2010. “Small Area Estimation: Basic Concepts, Models and Ongoing
Research.” The Survey Statistician 62:30-32.
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SmallAreaEstimationBiblio.doc
©2010, Timothy G. Gregoire, Yale University
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