ONSET
发表于 2025-3-21 17:15:47
书目名称Directions in Robust Statistics and Diagnostics影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0280691<br><br> <br><br>书目名称Directions in Robust Statistics and Diagnostics影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0280691<br><br> <br><br>书目名称Directions in Robust Statistics and Diagnostics网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0280691<br><br> <br><br>书目名称Directions in Robust Statistics and Diagnostics网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0280691<br><br> <br><br>书目名称Directions in Robust Statistics and Diagnostics被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0280691<br><br> <br><br>书目名称Directions in Robust Statistics and Diagnostics被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0280691<br><br> <br><br>书目名称Directions in Robust Statistics and Diagnostics年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0280691<br><br> <br><br>书目名称Directions in Robust Statistics and Diagnostics年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0280691<br><br> <br><br>书目名称Directions in Robust Statistics and Diagnostics读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0280691<br><br> <br><br>书目名称Directions in Robust Statistics and Diagnostics读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0280691<br><br> <br><br>
AWL
发表于 2025-3-21 22:10:36
Configural Polysampling, sampling distributions. By including a heavy-tailed distribution along with the Gaussian in the collection of sampling distributions, inference procedures that are robust against heavy-tailed deviations from the Gaussian are obtained. The conditional point of view we referred to, can - and should -
SCORE
发表于 2025-3-22 02:27:29
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Functional
发表于 2025-3-22 04:56:51
Unmasking Multivariate Outliers and Leverage Points by Means of BMDP3R,te location and covariance are considered, using the P3R and PAR programs from the widely available statistical package BMDP. Multivariate outliers are detected using robust distances based on the MVE estimators of the explanatory variables. The identification of leverage points in linear regression
enormous
发表于 2025-3-22 12:27:09
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血友病
发表于 2025-3-22 15:01:29
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血友病
发表于 2025-3-22 18:03:46
Robust Testing of Functionals,ur paper, the multisided testing problem about .,.which extends the classical multiparameter hypotheses to nonparametrized measures, is studied using a locally asymptotic robust approach. Assuming any full infinitesimal neighborhoods, and i.i.d. observations, we derive a locally asymptotic maximin (
Picks-Disease
发表于 2025-3-22 22:51:54
Robustness of the ,-Subset Algorithm for Regression with High Breakdown Point,es estimator. Unfortunately, its exact computation is quite difficult because the objective function may have a large number of local minima. Therefore, we have been using an approximate algorithm based on .-subsets. In this paper we prove that the algorithm shares the equivariance and good breakdow
concubine
发表于 2025-3-23 03:45:40
Robust Distances: Simulations and Cutoff Values,gested to use the Minimum Volume Ellipsoid estimator, which can be computed using a resampling algorithm. In this paper the small sample behavior of the robust distances is studied by means of simulation. We obtain a correction factor yielding approximately correct coverage percentages for the corre
明智的人
发表于 2025-3-23 08:16:09
Diagnostics for Regression-Arma Time Series,ype II) outlier. Commonly these outliers have been modelled as mean-shift outliers, but variance-shift outliers may also be considered. In this paper we formulate the resulting 4 outlier types (mean-shift observation outlier, variance-shift observation outlier, mean-shift innovation outlier, and var