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Advanced Statistical Methods and Models
TopicLeading institutions, researchers & key papers
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.
55
Works
IDs:OpenAlex
How has Advanced Statistical Methods and Models's publication output changed over time?
ScholarIQpublication output · 1980–2015
Output grew0% over the shown period — from 1 works in 1980 to 1 in 2015.
1
1
1
1
5
2
1
1
1
1
1980199219931997200220032004200520072015
What are the most-cited papers on Advanced Statistical Methods and Models?
ScholarIQmost cited works
The Importance of the Normality Assumption in Large Public Health Data Sets
Thomas Lumley, Paula Diehr, Scott S. Emerson, Lu Chen
S113591250. 20021,769 Citations
Discarding or downweighting high-noise variables in factor analytic models
Pentti Paatero, Philip K. Hopke
Analytica Chimica Acta. 2003703 Citations
A Framework for Robust Subspace Learning
Fernando De la Torre, Michael J. Black
S25538012. 2003625 Citations
Where is Advanced Statistical Methods and Models research published, and who funds it?
ScholarIQvenues & funding sources
TOP JOURNALS
TOP FUNDERS
National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
Funder breakdown is a member featureSign up free to unlock
How much of the research on Advanced Statistical Methods and Models is open access?
ScholarIQopen access share
20%OPEN ACCESS
Gold
0%
Green
0%
Hybrid
0%
Bronze
20%
Closed
80%
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