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Development and improvement of methods of diagnostics of heating systems in modern conditions

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 Function 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

Survey of period variations of superhumps in SU UMa-type dwarf novae. VIII. The eighth year (2015-2016)

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