Item talk:Q166747: Difference between revisions
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{ | |||
"id": "https://openalex.org/T11871", | |||
"display_name": "Detection and Handling of Multicollinearity in Regression Analysis", | |||
"description": "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.", | |||
"keywords": [ | |||
"Multicollinearity", | |||
"Regression Analysis", | |||
"Outlier Detection", | |||
"Robust Estimation", | |||
"Variance Inflation Factor", | |||
"Principal Component Analysis", | |||
"Relative Importance", | |||
"Depth Functions", | |||
"Robust Statistics", | |||
"Functional Data" | |||
], | |||
"ids": { | |||
id: https://openalex.org/ | "openalex": "https://openalex.org/T11871", | ||
"wikipedia": "https://en.wikipedia.org/wiki/Multicollinearity" | |||
}, | |||
"subfield": { | |||
"id": "https://openalex.org/subfields/2613", | |||
"display_name": "Statistics and Probability" | |||
}, | |||
"field": { | |||
"id": "https://openalex.org/fields/26", | |||
"display_name": "Mathematics" | |||
}, | |||
"domain": { | |||
"id": "https://openalex.org/domains/3", | |||
"display_name": "Physical Sciences" | |||
}, | |||
"siblings": [ | |||
{ | |||
id: https://openalex.org/ | "id": "https://openalex.org/T12056", | ||
"display_name": "Bayesian Monte Carlo Methods in Scientific Inference" | |||
id: https://openalex.org/ | }, | ||
{ | |||
id: https://openalex.org/ | "id": "https://openalex.org/T13680", | ||
"display_name": "Complex Probability Paradigm" | |||
id: https://openalex.org/ | }, | ||
{ | |||
id: https://openalex.org/ | "id": "https://openalex.org/T11345", | ||
"display_name": "Development of Numerical Cognition and Mathematics Abilities" | |||
id: https://openalex.org/ | }, | ||
{ | |||
id: https://openalex.org/ | "id": "https://openalex.org/T13546", | ||
"display_name": "Estimation of Population Size Using Capture-Recapture Models" | |||
id: https://openalex.org/ | }, | ||
{ | |||
id: https://openalex.org/ | "id": "https://openalex.org/T12135", | ||
"display_name": "Fuzzy Differential Equations and Uncertainty Modeling" | |||
id: https://openalex.org/ | }, | ||
{ | |||
id: https://openalex.org/ | "id": "https://openalex.org/T13797", | ||
"display_name": "Introduction to Probability and Statistics" | |||
id: https://openalex.org/ | }, | ||
{ | |||
id: https://openalex.org/ | "id": "https://openalex.org/T10845", | ||
"display_name": "Methods for Causal Inference in Observational Studies" | |||
id: https://openalex.org/ | }, | ||
{ | |||
id: https://openalex.org/ | "id": "https://openalex.org/T10243", | ||
"display_name": "Methods for Handling Missing Data in Statistical Analysis" | |||
}, | |||
id: https://openalex.org/ | { | ||
"id": "https://openalex.org/T14374", | |||
id: https://openalex.org/ | "display_name": "Methods for Sample Size Calculation in Research" | ||
}, | |||
id: https://openalex.org/ | { | ||
"id": "https://openalex.org/T13141", | |||
"display_name": "Multivariate Analysis in Statistical Research" | |||
}, | |||
{ | |||
"id": "https://openalex.org/T13500", | |||
"display_name": "Probability Theory and Statistical Modeling" | |||
}, | |||
{ | |||
"id": "https://openalex.org/T11716", | |||
"display_name": "Random Matrix Theory and Its Applications" | |||
}, | |||
{ | |||
"id": "https://openalex.org/T10136", | |||
"display_name": "Regularization and Variable Selection Methods" | |||
}, | |||
{ | |||
"id": "https://openalex.org/T10968", | |||
"display_name": "Skew Distributions and Applications in Statistics" | |||
}, | |||
{ | |||
"id": "https://openalex.org/T13720", | |||
"display_name": "Statistical Analysis of Benford's Law Phenomenon" | |||
}, | |||
{ | |||
"id": "https://openalex.org/T12062", | |||
"display_name": "Statistical Convergence in Approximation Theory and Functional Analysis" | |||
}, | |||
{ | |||
"id": "https://openalex.org/T11875", | |||
"display_name": "Statistical Literacy and Reasoning in Education" | |||
}, | |||
{ | |||
"id": "https://openalex.org/T13030", | |||
"display_name": "Statistical Methods for Sensitive Survey Questions" | |||
}, | |||
{ | |||
"id": "https://openalex.org/T11235", | |||
"display_name": "Statistical Methods in Clinical Trials and Drug Development" | |||
} | |||
], | |||
"works_count": 75230, | |||
"cited_by_count": 2790773, | |||
"updated_date": "2024-08-26T05:18:35.469308", | |||
"created_date": "2024-01-23" | |||
} |
Revision as of 13:14, 30 August 2024
{
"id": "https://openalex.org/T11871", "display_name": "Detection and Handling of Multicollinearity in Regression Analysis", "description": "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.", "keywords": [ "Multicollinearity", "Regression Analysis", "Outlier Detection", "Robust Estimation", "Variance Inflation Factor", "Principal Component Analysis", "Relative Importance", "Depth Functions", "Robust Statistics", "Functional Data" ], "ids": { "openalex": "https://openalex.org/T11871", "wikipedia": "https://en.wikipedia.org/wiki/Multicollinearity" }, "subfield": { "id": "https://openalex.org/subfields/2613", "display_name": "Statistics and Probability" }, "field": { "id": "https://openalex.org/fields/26", "display_name": "Mathematics" }, "domain": { "id": "https://openalex.org/domains/3", "display_name": "Physical Sciences" }, "siblings": [ { "id": "https://openalex.org/T12056", "display_name": "Bayesian Monte Carlo Methods in Scientific Inference" }, { "id": "https://openalex.org/T13680", "display_name": "Complex Probability Paradigm" }, { "id": "https://openalex.org/T11345", "display_name": "Development of Numerical Cognition and Mathematics Abilities" }, { "id": "https://openalex.org/T13546", "display_name": "Estimation of Population Size Using Capture-Recapture Models" }, { "id": "https://openalex.org/T12135", "display_name": "Fuzzy Differential Equations and Uncertainty Modeling" }, { "id": "https://openalex.org/T13797", "display_name": "Introduction to Probability and Statistics" }, { "id": "https://openalex.org/T10845", "display_name": "Methods for Causal Inference in Observational Studies" }, { "id": "https://openalex.org/T10243", "display_name": "Methods for Handling Missing Data in Statistical Analysis" }, { "id": "https://openalex.org/T14374", "display_name": "Methods for Sample Size Calculation in Research" }, { "id": "https://openalex.org/T13141", "display_name": "Multivariate Analysis in Statistical Research" }, { "id": "https://openalex.org/T13500", "display_name": "Probability Theory and Statistical Modeling" }, { "id": "https://openalex.org/T11716", "display_name": "Random Matrix Theory and Its Applications" }, { "id": "https://openalex.org/T10136", "display_name": "Regularization and Variable Selection Methods" }, { "id": "https://openalex.org/T10968", "display_name": "Skew Distributions and Applications in Statistics" }, { "id": "https://openalex.org/T13720", "display_name": "Statistical Analysis of Benford's Law Phenomenon" }, { "id": "https://openalex.org/T12062", "display_name": "Statistical Convergence in Approximation Theory and Functional Analysis" }, { "id": "https://openalex.org/T11875", "display_name": "Statistical Literacy and Reasoning in Education" }, { "id": "https://openalex.org/T13030", "display_name": "Statistical Methods for Sensitive Survey Questions" }, { "id": "https://openalex.org/T11235", "display_name": "Statistical Methods in Clinical Trials and Drug Development" } ], "works_count": 75230, "cited_by_count": 2790773, "updated_date": "2024-08-26T05:18:35.469308", "created_date": "2024-01-23"
}