- Autor
- Han Ying (Gallup.Inc, USA)
- 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. 30-34, bibliogr. s. 33-34
- 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
- Pokaż
- Bibliografia
- CHAMBERS, R., (2009). Regression analysis of probability-linked data. Statisphere, 4.
- FELLEGI, I., SUNTER, A., (1969). A theory for record linkage. Journal of the American Statistical Association, 64, pp. 1183-1210.
- HAN, Y., (2018). Statistical inference using data from multiple files combined through record linkage. PhD thesis, University of Maryland.
- HAN, Y., LAHIRI, P., (2019). Statistical analysis with linked data. Journal of the American Statistical Association, 87, pp. S139-S157.
- JIANG, J., LAHIRI, P., (2006). Mixed model prediction and small area estimation. Test, 15(1), pp. 1-96.
- JIANG, J., LAHIRI, P., WAN, S. W., (2002). A unified jackknife theory for empirical best prediction with m-estimation. Annals of Statistics, 30(6), pp. 1782-1810.
- KIM, J., CHAMBERS, R., (2012). Regression analysis under incomplete linkage. Computational Statistics and Data Analysis, 56(9), pp. 2756-2770.
- LAHIRI, P., (2017). Small area estimation with linked data. Keynote address at the ISI Satellite Meeting on Small Area Estimation, Paris, France, July, pp. 10-12.
- LAHIRI, P., LARSEN, M., (2005). Regression analysis with linked data. Journal of the American Statistical Association, 100(469), pp. 222-230.
- LOHR, S. L., RAO, K., (2009). Jackknife estimation of mean squared error of small area predictors in nonlinear mixed models. Boimetrika, 96(2), pp. 457-468.
- NETER, J., MAYNES, E., RAMANATHAN, R., (1965). The effect of mismatching on the measurement of response error. Journal of the American Statistical Association, 60(312), pp. 1005-1027.
- PFEFFERMAN, D., (2013). New important developments in small area estimation. Statistical Science, 28(1), pp. 40-68.
- RAO, J., MOLINA, I., (2015). Small Area Estimation. Wiley, second edition.
- SAMART, K., CHAMBERS, R., (2014). Linear regression with nested errors using probability-linked data. Australian and New Zealand Journal of Statistics, 56(1), pp. 27-46.
- Cytowane przez
- ISSN
- 1234-7655
- Język
- eng
- URI / DOI
- http://dx.doi.org/10.21307/stattrans-2020-024