Topic · Statistics and Probability
Advanced Statistical Methods and Models
Advanced Statistical Methods and Models is a research topic within Statistics and Probability. Science Explorer counts 39k research works in it since 1950. 10.0% of them reached the world's top 10% most cited for their field and year.
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.
- Multicollinearity
- Regression Analysis
- Outlier Detection
- Robust Estimation
- Variance Inflation Factor
- Principal Component Analysis
- Relative Importance
- Depth Functions
- Robust Statistics
- Functional Data
- Research works
- 39k fractional, since 1950
- In the world top 10%
- 3.9k per year above
- Top-10% rate
- 10.0% share of its works in the world top 10%
- Growth, 2018-21 → 2022-25
- 0% the tick is no change
- Largest producer
United States
32% of the 10 largest, 2022-now
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