On combining unbiased and possibly biased correlated estimators
Author:
Funder
Simons Foundation
Publisher
Springer Science and Business Media LLC
Subject
Computational Theory and Mathematics,Statistics and Probability
Link
https://link.springer.com/content/pdf/10.1007/s42081-023-00194-2.pdf
Reference16 articles.
1. Arslan, O. (2001). Family of multivariate generalized t distributions. Journal of Multivariate Analysis, 89, 329–251.
2. Berger, J. (1975). Minimax estimation of location vectors for a wide class of densities. The Annals of Statistics, 3, 1318–1328.
3. Berger, J. (1976). Admissible minimax estimation of a multivariate normal mean with arbitrary quadratic loss. The Annals of Statistics, 4, 223–226.
4. Casella, G., & Hwang, J. T. (1982). Limit expressions for the risk of James–Stein estimators. Canadian Journal of Statistics-revue Canadienne De Statistique, 10, 305–309.
5. Cessie, S., Nagelkerke, N., Rosendal, F., Stralen, K., Pomp, E., & Houwelingen, H. (2008). Combining matched and unmatched control groups in case–control studies. American Journal of Epidemiology, 168, 1204–1210.
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