A jackknife type approach to statistical model selection

Mathematics

• Jackknife 65%
• Model Selection 53%
• Statistical Model 53%
• Information Criterion 38%
• Bias Reduction 21%
• Model 17%
• Likelihood 13%
• Minimum Description Length 11%
• Nested Models 10%
• Bayesian Information Criterion 10%
• Unknown 10%
• Akaike Information Criterion 9%
• Stochastic Order 9%
• Kullback-Leibler Divergence 9%
• Filtering 7%
• Bootstrap 7%
• Estimate 7%
• Time series 6%
• Maximum Likelihood Estimator 6%
• Regression 5%
• Family 3%

Business & Economics

• Jackknife 100%
• Model Selection 82%
• Statistical Model 75%
• Information Criterion 33%
• Bias Reduction 20%
• Kullback-Leibler Divergence 10%
• Stochastic Order 10%
• Bayesian Information Criterion 9%
• Akaike Information Criterion 9%
• Maximum Likelihood Estimator 8%

Engineering & Materials Science

• Statistical Models 49%
• Maximum likelihood 5%
• Time series 4%