Discussion of

Rao, J. N. K.

doi:10.21307/stattrans-2020-029

Autor

Rao J. N. K. (School of Mathematics and Statistics, Carleton University, Canada)

Tytuł

Discussion of "Small Area Estimation: its Evolution in Five Decades", by Malay Ghosh

Źródło

Statistics in Transition, 2020, vol. 21, nr 4 Special Issue, s. 53-58, bibliogr. s. 57-58

Słowa kluczowe

Statystyka małych obszarów, Recenzja
Small area estimates, Review

Uwagi

summ.

Dostępne w

Biblioteka Główna Uniwersytetu Ekonomicznego w Krakowie
Biblioteka SGH im. Profesora Andrzeja Grodka
Biblioteka Główna Uniwersytetu Ekonomicznego w Katowicach

Pełny tekst

Bibliografia

DEHNEL, G., WAWROWSKI, L., (2020). Robust estimation of wages in small enterprises: the application to Poland's districts, Statistics in Transition new series, 21, pp. 137-157.
GUADARRAMA, M., MOLINA, I., RAO, J. N. K., (2016). A comparison of small area estimation methods for poverty mapping, Statistics in Transition new series, 1, pp. 41-66.
GHOSH, M., LAHIRI, P., (1989). A hierarchical Bayes approach to small area estimation with auxiliary information, In: Proceedings of the Joint Indo- US Workshop on Bayesian Inference in Statistics and Econometrics.
HANSEN, M. H., MADOW, W. G., TEPPING, B. J., (1983). An evaluation of modeldependent and probability sampling inferences in sample surveys, Journal of the American Statistical Association, 78, pp. 776-793.
HIDIROGLOU, M. A, BEAUMONT, J-F., YUNG, W., (2019). Development of a small area estimation system at Statistics Canada, Survey Methodology, 45, pp. 101-126.
JIANG, J., RAO, J. S., (2020). Robust small area estimation: An overview, Annual Reviews, 7, pp. 337-360.
KALTON, G., (2019). Developments in survey research over the past 60 years: A personal perspective, International Statistical Review, 87, pp. S10-S30.
LI, H., LAHIRI, P., (2010). An adjusted maximum likelihood method for solving small area estimation problems, Journal of Multivariate Analysis, 101, pp. 882-892.
MOLINA, I., MARHUENDA, Y., (2015). Sae: An R package for Small Area Estimation, The R Journal of Statistics, 7, pp. 81-98.
MOLINA, I., RAO, J. N. K., DATTA, G. S., (2015). Small area estimation under a FayHerriot model with preliminary testing for the presence of random effects, Survey Methodology, 41, pp. 1-19.
PFEFFERMANN, D., BEN-HUR, D., (2018). Estimation of randomization mean squared error in small area estimation, International Statistical Review, 87, pp. S31-S49.
RAO, J. N. K., (2003). Small Area Estimation. Hoboken, NJ: Wiley.
RAO, J. N. K., (2020). On making valid inferences by integrating data from surveys and other sources, Sankhya, Series B (in press).
RAO, J. N. K., RUBIN-BLEUER, S., ESTEVAO, V. M., (2018). Measuring uncertainty associated with model-based small area estimators, Survey Methodology, 44, pp. 151-166.
SINHA, S. K., RAO, J. N. K., (2009). Robust small area estimation, Canadian Journal of Statistics, 37, pp. 381-399.
TZAVIDIS, N., ZHANG, L. C., LUNA, A., SCHMID, T., ROJAS-PERILLA, N., (2018). From start to finish: a framework for the production of small area official statistics, Journal of the Royal Statistical Society, Series A, 181, pp. 927-979.

Cytowane przez

ISSN

1234-7655

Język

eng

URI / DOI

BazEkon - Biblioteka Główna Uniwersytetu Ekonomicznego w Krakowie

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