Detection of single influential points in OLS regression model building
By Milan Meloun, Jirí Militký. 2001
61 citations recorded by the source corpus.
Subfields: Analytical Chemistry, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/98386545682e496cd565b62de3533833d0cc9ea6
How researchers see this paper
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In Analytical Chemistry
- A. Asuero
- M. Boccio
- Sylvain Chartier
- Denis Cousineau
- A. Sayago
- David Daffos Ruiz de Adana
- Julia Martín
In Statistics and Probability
- A. Asuero
- M. Boccio
- Sylvain Chartier
- Denis Cousineau
- A. Sayago
- David Daffos Ruiz de Adana
- Julia Martín
Citations in the corpus
- Outliers detection and treatment: a review (2010, methodology): “the population is multinormal (a multidimensional normal distribution) and the data under study are simple (dummy coding variable as predictors, like MANOVA), then the Mahalanobis distance can be used (for a review, see Meloun & Militký, 2001).”
- Fitting Straight Lines with Replicated Observations by Linear Regression: The Least Squares Postulates (2004, methodology): “” When the conditions are met, the parameter estimates found by minimization of a least squares criterion are ( 39 , 65 66 ) best unbiased linear estimates of the regression parameters.”