1 |
Salvati, N., Chandra, H., Ranalli, M. G. and Chambers, R. (2010). Small area estimation using a nonparametric model-based direct estimator, Computational Statistics and Data Analysis, 54, 2159-2171.
DOI
ScienceOn
|
2 |
Hwang, H.-J. and Shin, K.-I. (2008). Shrinkage prediction for small area estimation, The Korean Journal of Applied Statistics, 21, 109-123.
DOI
|
3 |
Jeong, S.-O. and Shin, K.-I. (2008). A new nonparametric method for prediction based on mean squared relative error, Communications of the Korean Statistical Society, 15, 255-264.
DOI
|
4 |
Opsomer, J. D., Claeskens, G., Ranalli, M. G., Kauermann, G. and Breidt, F. J. (2008). Non-parametric small area estimation using penalized spline regression, Journal of Royal Statistical Society B, 70, 265-286.
DOI
ScienceOn
|
5 |
Jeong, S.-O. and Shin, K.-I. (2013). Semiparametric and nonparametric mixed effects models for small area estimation, The Korean Journal of Applied Statistics, 26, 71-79.
과학기술학회마을
DOI
|
6 |
Jones M. C., Park, H., Shin, K.-I., Vines, S. K. and Jeong, S.-O. (2008). Relative error prediction via kernel regression smoother, Journal of Statistical Planning and Inference, 138, 2887-2898.
DOI
|
7 |
Lee, H., Rancourt, E. and Sarndal, C.-E. (1995). Experiment with variance estimation from survey data with imputed value, Journal of Official Statistics, 10, 231-243.
|
8 |
Park, H. and Stefanski, L. A. (1997). Relative error prediction, Statistics and Probability Letters, 40, 227-236.
|
9 |
Rao, J. N. K. (2003). Small Area Estimation, John Wiley and sons, New York.
|
10 |
Ruppert, D., Wand, M. P. and Carroll, R. J.(2003). Semiparametric Regression, Cambridge.
|