Physical Sciences → Mathematics → Statistics and Probability
Advanced Statistical Methods and Models
This cluster of papers focuses on the detection, impact, and handling of multicollinearity in regression analysis. It discusses methods for identifying outliers, robust estimation techniques, variance inflation factors, and the use of depth functions in analyzing data. The cluster also explores the relative importance of predictors, principal component analysis, and the application of these concepts to functional data.
97.5K works worldwide3.2M citations
MulticollinearityRegression AnalysisOutlier DetectionRobust EstimationVariance Inflation FactorPrincipal Component AnalysisRelative ImportanceDepth FunctionsRobust StatisticsFunctional Data
Journals publishing in this area
2
361h-index
1.41Impact
13.4KArticles
893.4KCitations
3.jpg)
500h-index
1.29Impact
12.2KArticles
1.5MCitations
6
Journal of the Royal Statistical Society Series B (Statistical Methodology)
ISSN 1369-7412975 articles in this topic
307h-index
1.61Impact
4.2KArticles
739.3KCitations
7
305h-index
1.51Impact
14.8KArticles
669.2KCitations
8
329h-index
2.51Impact
6.4KArticles
679.8KCitations
11
415h-index
2.11Impact
7.6KArticles
1MCitations
12
12h-index
0.09Impact
1.6KArticles
1.2KCitations