Orlicz-fractional maximal operators on weighted Lp spaces generalizes for the Fefferman-
Stein inequality. The main result is the Fefferman-
Stein inequality
Asymptotic expansion of the coverage probability of James-stein estimators probability of the confidence sets recentered in [W. James and C.
Stein, Estimation with quadratic loss
Asymptotic expansion of the coverage probability of James-stein estimators probability of the confidence sets recentered in [W. James and C.
Stein, Estimation with quadratic loss
Generalized fractional integral operators on Orlicz–Hardy spaces presented.), which was proved by
Stein and Weiss in 1960. © 2020 Wiley-VCH GmbH
James-Stein confidence set: Equal area approach to the global approximation of coverage probability of the Coverage Probability of James-
Stein Estimators," Theory Probab. Appl. 51, 683-695 (2007)], an asymptotic
Baranchick-type Estimators of a Multivariate Normal Mean Under the General Quadratic Loss FunctionHamdaoui, Abdenour,
Benkhaled, Abdelkader,
Terbeche, Mekki,
Хамдауи, Абденур,
Бенхалед, Абделькадер,
Тербече, Мекки
the class of James-
Stein estimator is presented. The general situation for both matrices cited above
Remarks on the monotonicity and convexity of Jensen's function, we investigate a Jensen-type inequality that arised from Fourier analysis by
Stein and Weiss. As a
James-Stein confidence set: Equal area approach to the global approximation of coverage probability of the Coverage Probability of James-
Stein Estimators," Theory Probab. Appl. 51, 683-695 (2007)], an asymptotic