Search results for "leverage analysi"

showing 3 items of 3 documents

Outlier recognition in crystal-structure least-squares modelling by diagnostic techniques based on leverage analysis.

2005

The identification of the actual outliers in a least-squares crystal-structure model refinement and their subsequent elimination from the data set is a non-trivial task that has to be carried out carefully when a high level of accuracy of the estimates is required. One of the most suitable tools for detecting the influence of each data entry on the regression is the identification of ;leverage points'. On the other hand, the recognition of the actual statistical outliers is effectively possible by using some diagnostics as a function of the leverage, such as Cook's distance, DFFITS and FVARATIO. The evaluation of these estimators makes it possible to achieve a reliable identification of the…

Model refinementComputer scienceEstimatorcomputer.software_genreRegressionleast squareData pointCook's distanceleverage analysisStructural BiologyDFFITSOutliercrystal structure refinementLeverage (statistics)Data miningCook's distanceAlgorithmcomputerActa crystallographica. Section A, Foundations of crystallography
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OUTLIER RECOGNITION AND ROBUST WEIGHTING PROCEDURES APPLIED IN CATION ORDERING-DISORDERING KINETIC DATA PROCESSING

2011

leverage analysiskineticleast squares processingoutlierintersite cation exchange
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Regression diagnostics applied in kinetic data processing: outlier recognition and robust weighting procedures

2010

An efficient protocol, based on advanced statistical diagnostics and robust fitting techniques applied to the least-squares processing of kinetic data of chemical reactions, is here presented and discussed. The procedure, which is aimed at obtaining highly accurate estimation of the fitting parameters, consists in the identification of the outliers that remarkably impair the fitting by means of the so called 'leverage analysis' and some related diagnostics, allowing the elimination of the actually aberrant observations from the data set and/or their robust weighting to inhibit the negative effects induced on the data fitting and to reduce the bias introduced into the parameter estimates. It…

robust regressionkineticleverage analysi
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