Mathematical Statistics and Applications: Festschrift for Constance Van EedenIMS, 2003 - 495 lappuses |
No grāmatas satura
1.–5. rezultāts no 18.
20. lappuse
... estimator with respect to a two - point prior with mass in { 00,00 + m } , see Section 5. Thus the last assumption ... Lp - loss h 20 G. Bader and W. Bischoff.
... estimator with respect to a two - point prior with mass in { 00,00 + m } , see Section 5. Thus the last assumption ... Lp - loss h 20 G. Bader and W. Bischoff.
21. lappuse
... Lp - loss h : ( -M , M ) → R , s → → SP , for p > 1 fulfills our Assumption on the loss function h whereas the ... estimator with respect to the two - Old and New Aspects of Minimax Estimation of a Bounded Parameter 21.
... Lp - loss h : ( -M , M ) → R , s → → SP , for p > 1 fulfills our Assumption on the loss function h whereas the ... estimator with respect to the two - Old and New Aspects of Minimax Estimation of a Bounded Parameter 21.
28. lappuse
... estimator 88 , m with respect to π the assumptions of Corollary 2.1 are fulfilled by Corollary 5.1 and Lemma 5.2 ... Lp - loss . Statist . Decisions 10 , 45-61 . Bischoff , W. and Fieger , W. ( 1992 ) . Minimax estimators and T - minimax ...
... estimator 88 , m with respect to π the assumptions of Corollary 2.1 are fulfilled by Corollary 5.1 and Lemma 5.2 ... Lp - loss . Statist . Decisions 10 , 45-61 . Bischoff , W. and Fieger , W. ( 1992 ) . Minimax estimators and T - minimax ...
218. lappuse
... estimation , in the study of score tests , and in the locally or asymptotically optimal rank tests , among others ... lp ( ' , 0 ) ) ' such that E || 1,0 ) || 2 < ∞∞ · ( 1.3 ) Ee hk ( fo + h - - fo 11/4 (つの) → 0 as h → 0 . k = 1 ...
... estimation , in the study of score tests , and in the locally or asymptotically optimal rank tests , among others ... lp ( ' , 0 ) ) ' such that E || 1,0 ) || 2 < ∞∞ · ( 1.3 ) Ee hk ( fo + h - - fo 11/4 (つの) → 0 as h → 0 . k = 1 ...
464. lappuse
... estimator and show that the LP estimators share some favorable properties with local polynomial regression estimators . In partic- ular , the LP estimators can reduce the bias according to the degree of the polynomial without increasing ...
... estimator and show that the LP estimators share some favorable properties with local polynomial regression estimators . In partic- ular , the LP estimators can reduce the bias according to the degree of the polynomial without increasing ...
Bieži izmantoti vārdi un frāzes
Accardi affine-invariant Aspect experiment assume assumptions asymptotic normality Bayes estimator Bayes risk Bayesian Bell's inequality Careiro censoring clinical trials computed confidence intervals consider convergence correlation corresponding cumulants defined denote density derivative distribution function efficiency empirical error example exponential finite Fisher information frequentist given group sequential designs hazard rate independent inequality Lemma linear loss function LP estimator M-estimators marginal Math Mathematical matrix maximum likelihood estimator mean minimax minimax estimator mixture Montréal multivariate nonparametric null hypothesis observations obtain optimal paper parameter Player prior probability problem Proof quantile quantum mechanics random variables random walk rank regression respect risk function saddlepoint approximation sample satisfies score function Section semiparametric sequence simulation Solimões symmetric test statistic Theorem 2.1 tion Toetjes truncation Université Université de Montréal upper bounds values variance vector Weibull
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