R. Mason and R. Gunst: "Outlier-Induced Collinearities". In Technometrics, 27:401-407, 1985. Home/Search Document Not in Database Summary Related Articles Check |
This paper is cited in the following contexts:
The Optimal Class Size for Object-Oriented.. - El-Emam.. (Correct)
....The models that we build in our study all involve only one independent variable, namely size. However, it is known that collinearities can exist between the independent variables and the intercept [50] Previous studies have shown that outliers can induce collinearities in regression models [37][44] But also, it is known that collinearities may mask influential observations [3] This has lead some authors to recommend addressing potential collinearity problems as a first step in the analysis [3] and this is the sequence that we follow. Belsley et al. 3] propose the condition number ....
R. Mason and R. Gunst: "Outlier-Induced Collinearities". In Technometrics, 27:401-407, 1985.
Thresholds for Object-Oriented Measures - Benlarbi, EI-Emam, Goel, Rai (2000) (Correct)
....all involve size and an object oriented measure. It is known that collinearities can exist between size and many object oriented measures [24] and between the independent variables and the intercept [52] Previous studies have shown that outliers can induce collinearities in regression models [42][48] But also, it is known that collinearities may mask influential observations [2] This has lead some authors to recommend addressing potential collinearity problems as a first step in the analysis [2] and this is the sequence that we follow. Belsley et al. 2] propose the condition number ....
R. Mason and R. Gunst: "Outlier-Induced Collinearities". In Technometrics, 27:401-407, 1985.
A Validation of Object-oriented Metrics - Emam, Reniarbi, Goel, Rai (1999) (4 citations) (Correct)
....adjustment, careful attention should be paid to the detection and mitigation of potential collinearity. Strong collinearity can cause inflated standard errors for the estimated regression parameters. Previous studies have shown that outliers can induce collinearities in regression models [45][54] But also, it is known that collinearities may mask influential observations [3] This has lead some authors to recommend addressing potential collinearity problems as a first step in the analysis [3] and this is the sequence that we follow. Belsley et al. 3] propose the condition number ....
R. Mason and R. Gunst: "Outlier-Induced Collinearities". In Technometrics, 27:401-407, 1985.
The Confounding Effect of Class Size on the Validity of.. - Emam, Benlarbi, Goel (1999) (3 citations) (Correct)
....little doubt. 3.3.3 Diagnosing Collinearity Since we control for the size confounder through regression adjustment, careful attention should be paid to the detection and mitigation of potential collinearity. Previous studies have shown that outliers can induce collinearities in regression models [81][95] But also, it is known that collinearities may mask influential observations [5] This has lead some authors to recommend addressing potential collinearity problems as a first step in the analysis [5] and this is what we do. We first briefly review some common approaches for diagnosing ....
R. Mason and R. Gunst: "Outlier-Induced Collinearities". In Technometrics, 27:401-407, 1985.
The Optimal Class Size for Object-Oriented.. - Emam, Benlarbi.. (2000) (1 citation) (Correct)
....The models that we build in our study all involve only one independent variable, namely size. However, it is known that collinearities can exist between the independent variables and the intercept [45] Previous studies have shown that outliers can induce collinearities in regression models [32][39] But also, it is known that collinearities may mask influential observations [2] This has lead some authors to recommend addressing potential collinearity problems as a first step in the analysis [2] and this is the sequence that we follow. Belsley et al. 2] propose the condition number ....
R. Mason and R. Gunst: "Outlier-Induced Collinearities". In Technometrics, 27:401-407, 1985.
The Prediction of Faulty Classes Using Object-oriented Design.. - Emam, Melo (1999) (2 citations) (Correct)
....adjustment, careful attention should be paid to the detection and mitigation of potential collinearity. Strong collinearity can cause inflated standard errors for the estimated regression parameters. Previous studies have shown that outliers can induce collinearities in regression models [52][61] But also, it is known that collinearities may mask influential observations [3] This has lead some authors to recommend addressing potential collinearity problems as a first step in the analysis [3] and this is the sequence that we follow. Belsley et al. 3] propose the condition number ....
R. Mason and R. Gunst: "Outlier-Induced Collinearities". In Technometrics, 27:401-407, 1985.
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