Analyses of fish species richness with spatial covariate

Mathematics

• Species Richness 92%
• Fish 68%
• Covariates 45%
• Variogram 30%
• Regression 24%
• Sulfur Dioxide 19%
• Geostatistics 15%
• Partial Linear Model 15%
• Longitude 15%
• Correlated Errors 14%
• Model 14%
• Restricted Maximum Likelihood 14%
• Spatial Structure 13%
• Multiple Models 13%
• Multiple Linear Regression 13%
• Prediction Interval 13%
• Generalized Least Squares 13%
• Multiple Regression 12%
• Semiparametric Model 12%
• Covariance Structure 12%
• Extrapolation 11%
• Trends 10%
• Smooth function 9%
• Scenarios 9%
• Regression Model 8%
• Modeling 6%
• Relationships 6%
• Standards 5%
• Term 5%
• Estimate 4%

Business & Economics

• Species Richness 100%
• Fish 57%
• Covariates 54%
• Partial Linear Model 19%
• Legislation 18%
• Geostatistics 18%
• Prediction Interval 15%
• Sulfur Dioxide 14%
• Semiparametric Model 14%
• Multiple Regression 14%
• Generalized Least Squares 13%
• Parametric Model 12%
• Linear Regression Model 12%
• Nonlinear Relationships 11%
• Multiple Linear Regression 11%
• Factors 11%
• Maximum Likelihood 10%
• Regression Model 8%
• Scenarios 6%
• Modeling 6%
• United States of America 4%