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Demonstrations 21 - 40 of 106
Nonparametric Regression and Kernel Smoothing: Confidence Regions for the L2-Optimal Curve Estimate
Regression Analysis of USA Inflation
Hidden Correlation in Regression
Regression Model with Transformations
Least Squares Criteria for the Least Squares Regression Line
Probit and Logit Models with Normal Errors
Interaction in a Two-Factor Regression Model
Interactive Curve Fitting
Auto-Regressive Simulation (Second-Order)
Maximum Likelihood Estimators with Normally Distributed Error
Estimating Conditional Expectations with Monte Carlo Simulation and Least Squares Regression
How Loess Works
The r-Distribution
National Football League In-Game Probability
Multiplicative Interactions
Confidence and Prediction Bands
Maximum Likelihood Estimators for Binary Outcomes
Omitted Variable Bias
Nonparametric Curve Estimation by Kernel Smoothers: Efficiency of Unbiased Risk Estimate and GCV Selectors
Kernel Density Estimation
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