메뉴 건너뛰기




Volumn 106, Issue 493, 2011, Pages 362-374

Model selection by testing for the presence of small-area effects, and application to area-level data

Author keywords

Bootstrap; Confidence intervals; Cumulants; Estimating equation; Mean squared error; P value

Indexed keywords


EID: 79954518929     PISSN: 01621459     EISSN: None     Source Type: Journal    
DOI: 10.1198/jasa.2011.tm10036     Document Type: Article
Times cited : (54)

References (36)
  • 1
    • 84857428807 scopus 로고
    • An error components model for prediction of county crop area using survey and satellite data
    • 362
    • Battese, G. E., Harter, R. M., and Fuller, W. A. (1988), ''An Error ComponentsModel for Prediction of County Crop Area Using Survey and Satellite Data,'' Journal of the American Statistical Association, 83, 28-36. [362]
    • (1988) Journal of the American Statistical Association , vol.83 , pp. 28-36
    • Battese, G.E.1    Harter, R.M.2    Fuller, W.A.3
  • 2
    • 79959795111 scopus 로고    scopus 로고
    • Examining sensitivity of small area inferences to uncertainty about sampling error variances
    • Joint Statistical Meetings 2008, Denver, Colorado; Alexandria, VA: American Statistical Association, 362
    • Bell, W. R. (2008), ''Examining Sensitivity of Small Area Inferences to Uncertainty About Sampling Error Variances,'' in Proceedings of Section on Survey Research Methods, Joint Statistical Meetings 2008, Denver, Colorado; Alexandria, VA: American Statistical Association, pp. 327-333. [362]
    • (2008) Proceedings of Section on Survey Research Methods , pp. 327-333
    • Bell, W.R.1
  • 4
    • 51049100175 scopus 로고    scopus 로고
    • Parametric bootstrap approximation to the distribution of eblup, and related prediction intervals in linear mixed models
    • 362
    • Chatterjee, S., Lahiri, P., and Li, H. (2008), ''Parametric Bootstrap Approximation to the Distribution of EBLUP, and Related Prediction Intervals in Linear Mixed Models,'' The Annals of Statistics, 36, 1221-1245. [362]
    • (2008) The Annals of Statistics , vol.36 , pp. 1221-1245
    • Chatterjee, S.1    Lahiri, P.2    Li, H.3
  • 5
    • 85015310805 scopus 로고    scopus 로고
    • Model-Based approach to small area estimation
    • eds. D. Pfeffermann and C. R. Rao, Amsterdam, The Netherlands: North- Holland, [362
    • Datta, G. S. (2009), ''Model-Based Approach to Small Area Estimation,'' in Handbook of Statistics: Sample Surveys: Inference and Analysis, Vol. 29B, eds. D. Pfeffermann and C. R. Rao, Amsterdam, The Netherlands: North- Holland, pp. 251-288. [362]
    • (2009) Handbook of Statistics: Sample Surveys: Inference and Analysis , vol.29 , pp. 251-288
    • Datta, G.S.1
  • 6
    • 0000720068 scopus 로고
    • Bayesian prediction in linear models: Applications to small area estimation
    • 362
    • Datta, G. S., and Ghosh, M. (1991), ''Bayesian Prediction in Linear Models: Applications to Small Area Estimation,'' The Annals of Statistics, 19, 1748-1770. [362]
    • (1991) The Annals of Statistics , vol.19 , pp. 1748-1770
    • Datta, G.S.1    Ghosh, M.2
  • 7
    • 0034375411 scopus 로고    scopus 로고
    • A unified measure of uncertainty of estimated best linear unbiased predictors in small area estimation problems
    • 362
    • Datta, G. S., and Lahiri, P. (2000), ''A Unified Measure of Uncertainty of Estimated Best Linear Unbiased Predictors in Small Area Estimation Problems,'' Statistica Sinica, 10, 613-627. [362]
    • (2000) Statistica Sinica , vol.10 , pp. 613-627
    • Datta, G.S.1    Lahiri, P.2
  • 8
    • 0031328709 scopus 로고    scopus 로고
    • Empirical bayes estimators of small area proportions in multistage designs
    • 366
    • Farrell, P. J., MacGibbon, B., and Tomberlin, T. J. (1997), ''Empirical Bayes Estimators of Small Area Proportions in Multistage Designs,'' Statistica Sinica, 7, 1065-1083. [366]
    • (1997) Statistica Sinica , vol.7 , pp. 1065-1083
    • Farrell, P.J.1    Macgibbon, B.2    Tomberlin, T.J.3
  • 9
    • 85144723819 scopus 로고
    • Estimates of income for small places: An application of james-stein procedure to census data
    • 362,368
    • Fay, R. E., and Herriot, R. A. (1979), ''Estimates of Income for Small Places: An Application of James-Stein Procedure to Census Data,'' Journal of the American Statistical Association, 74, 269-277. [362,368]
    • (1979) Journal of the American Statistical Association , vol.74 , pp. 269-277
    • Fay, R.E.1    Herriot, R.A.2
  • 10
    • 24944448752 scopus 로고    scopus 로고
    • Small area estimation based on natural exponential family quadratic variance function models and survey weights
    • 362,363,365,366
    • Ghosh, M., and Maiti, T. (2004), ''Small Area Estimation Based on Natural Exponential Family Quadratic Variance Function Models and Survey Weights,'' Biometrika, 91, 95-112. [362,363,365,366]
    • (2004) Biometrika , vol.91 , pp. 95-112
    • Ghosh, M.1    Maiti, T.2
  • 11
    • 84972540490 scopus 로고
    • Small area estimation: An appraisal'' (with discussion)
    • 362
    • Ghosh, M., and Rao, J. N. K. (1994), ''Small Area Estimation: An Appraisal'' (with discussion), Statistical Science, 9, 55-93. [362]
    • (1994) Statistical Science , vol.9 , pp. 55-93
    • Ghosh, M.1    Rao, J.N.K.2
  • 13
    • 33845326432 scopus 로고    scopus 로고
    • Nonparametric estimation of mean-squared prediction error in nested-error regression models
    • 362
    • Hall, P., and Maiti, T. (2006a), ''Nonparametric Estimation of Mean-Squared Prediction Error in Nested-Error Regression Models,'' The Annals of Statistics, 34, 1733-1750. [362]
    • (2006) The Annals of Statistics , vol.34 , pp. 1733-1750
    • Hall, P.1    Maiti, T.2
  • 14
    • 33644787360 scopus 로고    scopus 로고
    • On parametric bootstrap methods for small-area prediction
    • 362
    • Hall, P., and Maiti, T. (2006b), ''On Parametric Bootstrap Methods for Small-Area Prediction,'' Journal of the Royal Statistical Society, Ser. B, 68, 221-238. [362]
    • (2006) Journal of the Royal Statistical Society, Ser. B , vol.68 , pp. 221-238
    • Hall, P.1    Maiti, T.2
  • 15
    • 6644224313 scopus 로고    scopus 로고
    • Empirical best prediction for small area inference with binary data
    • 366
    • Jiang, J., and Lahiri, P. S. (2001), ''Empirical Best Prediction for Small Area Inference With Binary Data,'' Annals of the Institute of Statistical Mathematics, 53, 217-243. [366]
    • (2001) Annals of the Institute of Statistical Mathematics , vol.53 , pp. 217-243
    • Jiang, J.1    Lahiri, P.S.2
  • 16
    • 33646692461 scopus 로고    scopus 로고
    • Mixed model prediction and small area estimation
    • 362
    • Jiang, J., and Lahiri, P. S. (2006), ''Mixed Model Prediction and Small Area Estimation,'' Test, 15, 1-96. [362]
    • (2006) Test , vol.15 , pp. 1-96
    • Jiang, J.1    Lahiri, P.S.2
  • 17
    • 33646711546 scopus 로고    scopus 로고
    • Consistent procedures for mixed linear model selection
    • 363
    • Jiang, J., and Rao, J. S. (2003), ''Consistent Procedures for Mixed Linear Model Selection,'' Sankhya, 65, 23-42. [363]
    • (2003) Sankhya , vol.65 , pp. 23-42
    • Jiang, J.1    Rao, J.S.2
  • 18
    • 80053560324 scopus 로고    scopus 로고
    • Annals of the Institute of Statistical Mathematics, to appear, 368]
    • Jiang, J., and Tang, E. (2011), ''The Best EBLUP in the Fay-Herriot Model,'' Annals of the Institute of Statistical Mathematics, to appear. [368]
    • (2011) The Best EBLUP in the Fay-Herriot Model
    • Jiang, J.1    Tang, E.2
  • 19
    • 78249284334 scopus 로고    scopus 로고
    • Fence method for nonparametric small area estimation
    • 363,368
    • Jiang, J., Nguyen, T., and Rao, J. S. (2010), ''Fence Method for Nonparametric Small Area Estimation,'' Survey Methodology, 36, 3-11. [363,368]
    • (2010) Survey Methodology , vol.36 , pp. 3-11
    • Jiang, J.1    Nguyen, T.2    Rao, J.S.3
  • 20
    • 51049087315 scopus 로고    scopus 로고
    • Fence methods for mixed model selection
    • 363
    • Jiang, J., Rao, J. S., Gu, Z., and Nguyen, T. (2008), ''Fence Methods for Mixed Model Selection,'' The Annals of Statistics, 36, 1669-1692. [363]
    • (2008) The Annals of Statistics , vol.36 , pp. 1669-1692
    • Jiang, J.1    Rao, J.S.2    Gu, Z.3    Nguyen, T.4
  • 21
    • 74449084837 scopus 로고    scopus 로고
    • An adjusted maximum likelihood method for solving small area estimation problems
    • 362
    • Li, H., and Lahiri, P. (2010), ''An Adjusted Maximum Likelihood Method for Solving Small Area Estimation Problems,'' Journal of Multivariate Analysis, 101, 882-892. [362]
    • (2010) Journal of Multivariate Analysis , vol.101 , pp. 882-892
    • Li, H.1    Lahiri, P.2
  • 22
    • 0000991638 scopus 로고
    • Small area estimates of proportions via empirical bayes techniques
    • 366
    • Macgibbon, B., and Tomberlin, T. J. (1989), ''Small Area Estimates of Proportions via Empirical Bayes Techniques,'' Survey Methodology, 15, 237-252. [366]
    • (1989) Survey Methodology , vol.15 , pp. 237-252
    • Macgibbon, B.1    Tomberlin, T.J.2
  • 23
    • 0002233396 scopus 로고
    • Natural exponential families with quadratic variance functions
    • 362
    • Morris, C. N. (1982), ''Natural Exponential Families With Quadratic Variance Functions,'' The Annals of Statistics, 10, 65-80. [362]
    • (1982) The Annals of Statistics , vol.10 , pp. 65-80
    • Morris, C.N.1
  • 24
    • 0000405155 scopus 로고
    • Natural exponential families with quadratic variance functions: Statistical theory
    • 362
    • Morris, C. N. (1983), ''Natural Exponential Families With Quadratic Variance Functions: Statistical Theory,'' The Annals of Statistics, 11, 515-529. [362]
    • (1983) The Annals of Statistics , vol.11 , pp. 515-529
    • Morris, C.N.1
  • 25
    • 0000994315 scopus 로고
    • Hierarchical models for ranking and for identifying extremes with applications
    • eds. J. M. Bernardo, J. O. Bereger, A. P. Dawid, and A. F. M. Smith, New York: Oxford Univ. Press. [368]
    • Morris, C. N., and Christiansen, C. L. (1995), ''Hierarchical Models for Ranking and for Identifying ExtremesWith Applications,'' in Bayesian Statistics, Vol. 5, eds. J. M. Bernardo, J. O. Bereger, A. P. Dawid, and A. F. M. Smith, New York: Oxford Univ. Press. [368]
    • (1995) Bayesian Statistics , vol.5
    • Morris, C.N.1    Christiansen, C.L.2
  • 26
    • 0036545241 scopus 로고    scopus 로고
    • Small area estimation: New developments and directions
    • 362
    • Pfeffermann, D. (2002), ''Small Area Estimation: New Developments and Directions,'' International Statistical Review, 70, 125-143. [362]
    • (2002) International Statistical Review , vol.70 , pp. 125-143
    • Pfeffermann, D.1
  • 29
    • 84900529999 scopus 로고
    • The estimation of mean squared error of small area estimators
    • 362,369
    • Prasad, N. G. N., and Rao, J. N. K. (1990), ''The Estimation of Mean Squared Error of Small Area Estimators,'' Journal of the American Statistical Association, 85, 163-171. [362,369]
    • (1990) Journal of the American Statistical Association , vol.85 , pp. 163-171
    • Prasad, N.G.N.1    Rao, J.N.K.2
  • 30
    • 0002207572 scopus 로고    scopus 로고
    • On robust small area estimation using a simple random effects model
    • 362
    • Prasad, N. G. N., and Rao, J. N. K. (1999), ''On Robust Small Area Estimation Using a Simple Random Effects Model,'' Survey Methodology, 25, 67-72. [362]
    • (1999) Survey Methodology , vol.25 , pp. 67-72
    • Prasad, N.G.N.1    Rao, J.N.K.2
  • 31
    • 0000149305 scopus 로고    scopus 로고
    • Some recent advances in model-based small area estimation
    • 362
    • Rao, J. N. K. (1999), ''Some Recent Advances in Model-Based Small Area Estimation,'' Survey Methodology, 25, 175-186. [362]
    • (1999) Survey Methodology , vol.25 , pp. 175-186
    • Rao, J.N.K.1
  • 33
    • 38149106384 scopus 로고    scopus 로고
    • Inferential issues in small area estimation: Some new developments
    • 362
    • Rao, J. N. K. (2006), ''Inferential Issues in Small Area Estimation: Some New Developments,'' Statistics in Transition, 7, 513-526. [362]
    • (2006) Statistics in Transition , vol.7 , pp. 513-526
    • Rao, J.N.K.1
  • 35
    • 0036763288 scopus 로고    scopus 로고
    • A pseudo-empirical best linear unbiased prediction approach to small area estimation using survey weights
    • 362
    • You, Y., and Rao, J. N. K. (2002), ''A Pseudo-Empirical Best Linear Unbiased Prediction Approach to Small Area Estimation Using SurveyWeights,'' Canadian Journal of Statistics, 30, 431-439. [362]
    • (2002) Canadian Journal of Statistics , vol.30 , pp. 431-439
    • You, Y.1    Rao, J.N.K.2
  • 36
    • 0037290185 scopus 로고    scopus 로고
    • Pseudo-Hierarchical bayes small area estimation combining unit level models and survey weights
    • 362
    • You, Y., and Rao, J. N. K. (2003), ''Pseudo-Hierarchical Bayes Small Area Estimation Combining Unit Level Models and SurveyWeights,'' Journal of Statistical Planning and Inference, 111, 197-208. [362]
    • (2003) Journal of Statistical Planning and Inference , vol.111 , pp. 197-208
    • You, Y.1    Rao, J.N.K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.