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The Robustness of Rasch Estimates [PDF]

open access: yesApplied Psychological Measurement, 1986
The small scale applicability of Rasch estimates was investigated under simulated conditions of guess ing and heterogeneity in item discrimination. The ac curacy of the Rasch estimates was evaluated by means of the correlation between the item/person parameters and their estimates, the standard deviations of the esti mates, and the difference as well ...
openaire   +3 more sources

Robust estimation of Cronbach's alpha [PDF]

open access: yesJournal of Multivariate Analysis, 2006
Cronbach’s alpha is a popular method to measure reliability, e.g. in quantifying the reliability of a score to summarize the information of several items in questionnaires. The alpha coefficient is known to be non-robust. We study the behavior of this coefficient in different settings to identify situations, which can easily occur in practice, but ...
Christmann, A., Van Aelst, Stefan
openaire   +5 more sources

Robust embedded egomotion estimation [PDF]

open access: yes2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011
2011 IEEE/RSJ International Conference on Intelligent Robots and Systems : (IROS 2011) ; San Francisco, California, USA, 25 - 30 September ...
Voigt, Rainer   +5 more
openaire   +2 more sources

On the Robustness of Brain Gain Estimates [PDF]

open access: yesSSRN Electronic Journal, 2009
Recent theoretical studies suggest that migration prospects can raise the expected return to human capital and thus foster education investment at home or, in other words, induce a brain gain. In a recent paper (Beine, Docquier and Rapoport, Economic Journal, 2008) we used the Docquier and Marfouk (2006) data set on emigration rates by education level ...
Michel BEINE   +2 more
openaire   +10 more sources

On Robust Linear Estimators

open access: yesThe Annals of Mathematical Statistics, 1969
Abstract : The problem of finding robust estimators for the location parameter of symmetric unimodal distributions has been the subject of much recent research. This paper is concerned with finding robust estimators which are linear functions of the ordered observations.
Gastwirth, Joseph L., Rubin, Herman
openaire   +3 more sources

Central Nervous System Tumors Among Infants in Canada: A Report From CYP‐C

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Central nervous system (CNS) tumors in infants are rare, pose unique clinical challenges, and lack large‐scale evidence‐based data to guide management. This study seeks to describe CNS tumors in Canadian infants and to compare their outcomes with those of older children.
Samuel Sassine   +17 more
wiley   +1 more source

Retrospective Analysis of Donor Lymphocyte Infusions in Pediatric Patients With Mixed Chimerism After Hematopoietic Stem Cell Transplantation

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Allogeneic hematopoietic stem cell transplantation (alloHSCT) is an essential therapy for several malignant and nonmalignant diseases, but relapse and graft loss remain the principal threats to its success. Routine monitoring of chimerism and minimal residual disease (MRD) enables early detection of imminent recurrence and guides ...
Carmen Junk   +10 more
wiley   +1 more source

Robust Location Estimates

open access: yesThe Annals of Statistics, 1977
Measures of location differentiable at every density in the Hellinger metric are constructed in this paper. Differentiability entitles these location functionals to the label "robust," even though their influence curves need not be bounded and continuous.
openaire   +3 more sources

Pediatric Idiopathic Multicentric Castleman Disease Is Often Severe But Responsive to Siltuximab

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Idiopathic multicentric Castleman disease (iMCD) is a potentially fatal immunologic disorder marked by widespread lymphadenopathy and inflammation. Siltuximab, an interleukin‐6 (IL‐6) inhibitor, is the only FDA‐approved treatment for adult patients with iMCD.
Bridget Austin   +17 more
wiley   +1 more source

On the Adversarial Robustness of Multivariate Robust Estimation

open access: yesCoRR, 2019
In this paper, we investigate the adversarial robustness of multivariate $M$-Estimators. In the considered model, after observing the whole dataset, an adversary can modify all data points with the goal of maximizing inference errors. We use adversarial influence function (AIF) to measure the asymptotic rate at which the adversary can change the ...
Erhan Bayraktar, Lifeng Lai
openaire   +3 more sources

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