James–Stein estimator (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "James–Stein estimator" in English language version.

refsWebsite

Global rank English rank

451^st place

277^th place

2^nd place

1,923^rd place

1,068^th place

3,707^th place

2,409^th place

26^th place

20^th place

69^th place

59^th place

18^th place

17^th place

5^th place

ams.org

Stein, C. (1956), "Inadmissibility of the usual estimator for the mean of a multivariate distribution", Proc. Third Berkeley Symp. Math. Statist. Prob., vol. 1, pp. 197–206, MR 0084922, Zbl 0073.35602
James, W.; Stein, C. (1961), "Estimation with quadratic loss", Proc. Fourth Berkeley Symp. Math. Statist. Prob., vol. 1, pp. 361–379, MR 0133191
Bock, M. E. (1975), "Minimax estimators of the mean of a multivariate normal distribution", Annals of Statistics, 3 (1): 209–218, doi:10.1214/aos/1176343009, MR 0381064, Zbl 0314.62005
Brown, L. D. (1966), "On the admissibility of invariant estimators of one or more location parameters", Annals of Mathematical Statistics, 37 (5): 1087–1136, doi:10.1214/aoms/1177699259, MR 0216647, Zbl 0156.39401

Stander, M. (2017), Using Stein's estimator to correct the bound on the entropic uncertainty principle for more than two measurements, arXiv:1702.02440, Bibcode:2017arXiv170202440S

Efron, B.; Morris, C. (1973). "Stein's Estimation Rule and Its Competitors—An Empirical Bayes Approach". Journal of the American Statistical Association. 68 (341). American Statistical Association: 117–130. doi:10.2307/2284155. JSTOR 2284155.
Stigler, Stephen M. (1990-02-01). "The 1988 Neyman Memorial Lecture: A Galtonian Perspective on Shrinkage Estimators". Statistical Science. 5 (1). doi:10.1214/ss/1177012274. ISSN 0883-4237.
Bock, M. E. (1975), "Minimax estimators of the mean of a multivariate normal distribution", Annals of Statistics, 3 (1): 209–218, doi:10.1214/aos/1176343009, MR 0381064, Zbl 0314.62005
Brown, L. D. (1966), "On the admissibility of invariant estimators of one or more location parameters", Annals of Mathematical Statistics, 37 (5): 1087–1136, doi:10.1214/aoms/1177699259, MR 0216647, Zbl 0156.39401

Stander, M. (2017), Using Stein's estimator to correct the bound on the entropic uncertainty principle for more than two measurements, arXiv:1702.02440, Bibcode:2017arXiv170202440S

Efron, B.; Morris, C. (1973). "Stein's Estimation Rule and Its Competitors—An Empirical Bayes Approach". Journal of the American Statistical Association. 68 (341). American Statistical Association: 117–130. doi:10.2307/2284155. JSTOR 2284155.

Stein, C. (1956), "Inadmissibility of the usual estimator for the mean of a multivariate distribution", Proc. Third Berkeley Symp. Math. Statist. Prob., vol. 1, pp. 197–206, MR 0084922, Zbl 0073.35602
James, W.; Stein, C. (1961), "Estimation with quadratic loss", Proc. Fourth Berkeley Symp. Math. Statist. Prob., vol. 1, pp. 361–379, MR 0133191

Stein, C. (1956), "Inadmissibility of the usual estimator for the mean of a multivariate distribution", Proc. Third Berkeley Symp. Math. Statist. Prob., vol. 1, pp. 197–206, MR 0084922, Zbl 0073.35602
Bock, M. E. (1975), "Minimax estimators of the mean of a multivariate normal distribution", Annals of Statistics, 3 (1): 209–218, doi:10.1214/aos/1176343009, MR 0381064, Zbl 0314.62005
Brown, L. D. (1966), "On the admissibility of invariant estimators of one or more location parameters", Annals of Mathematical Statistics, 37 (5): 1087–1136, doi:10.1214/aoms/1177699259, MR 0216647, Zbl 0156.39401