Nomogram for predicting significant rotation after plate-haptic toric intraocular lens implantation in a Chinese population. [PDF]
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Fedorov algorithm-optimized chemometric spectrophotometry for cefepime-tazobactam microanalysis in plasma and pharmaceuticals with integrated MA and NQS sustainability assessment. [PDF]
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Toward Generalizable Estimation of Behavioral Models with Parameter Dependencies. [PDF]
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Composite likelihood estimation in multivariate data analysis
Canadian Journal of Statistics, 2005Summary: The authors propose two composite likelihood estimation procedures for multivariate models with regression/univariate and dependence parameters. One is a two-stage method based on both univariate and bivariate margins. The other estimates all the parameters simultaneously based on bivariate margins.
Zhao, Yinshan, Joe, Harry
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Robust Procedures in Multivariate Analysis I: Robust Covariance Estimation
Applied Statistics, 1980SUMMARY The detection of atypical observations from multivariate data sets can be enhanced by examining probabilityplotsofMahalanobis squared distances using robust M-estimates of means and of covariances, rather than the usual maximum likelihood estimates.
N. Campbell
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Groupwise partial envelope model: efficient estimation in multivariate linear regression
Communications in statistics. Simulation and computation, 2021In order to incorporate group information for different groups, we extend the partial envelopes (Su and Cook, Statistica Sinica 23:213–30, 2011) to the groupwise partial envelopes which can improve the efficiency of parameter estimation and enlarge the ...
Jing Zhang +2 more
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Real world events are quite often mentioned in texts. Estimating the occurrence time of event mentions has many applications in IR, QA, general document understanding and downstream NLP tasks. In this paper we propose an approach to temporal profiling of
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MULTIVARIATE TAIL ESTIMATION WITH APPLICATION TO ANALYSIS OF COVAR
ASTIN Bulletin, 2013AbstractThe quality of estimation of multivariate tails depends significantly on the portion of the sample included in the estimation. A simple approach involving sequential statistical testing is proposed in order to select which observations should be used for estimation of the tail and spectral measures. We prove that the estimator is consistent. We
Nguyen, Tilo, Samorodnitsky, Gennady
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Analysis of Uncertainties in Estimates of Components of Variance in Multivariate ROC Analysis
Academic Radiology, 2001Solutions have previously been presented to the problem of estimating the components of variance in the general linear model used for multivariate receiver operating characteristic (ROC) analysis. The case where the variance components do not change across the modalities under comparison was first treated, followed by the case where they are permitted ...
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