Category: PS531 2014 PS 531 - Class 1 - How Does a Linear Model Represent Comparisons? Which Fitting Criteria Do We Like? Jan 27 2014 2013 PS 531 - Class 12 - Bayes Apr 29 2013 PS 531 - Class 11 - GLM Apr 22 2013 PS 531 - Class 10 - MLE Apr 15 2013 PS 531 - Class 9 - CLT for OLS: What Do We Have to Believe to Believe a Canned Regression Table? Apr 08 2013 PS 531 - Class 8 - CLT and WLLN. Or Why Should We Believe Canned Regression Tables When We Haven't Resampled or Shuffled? Mar 29 2013 PS 531 - Class 7 - Goodness of Fit, Inference for Predictions and Other Linear Combinations Mar 11 2013 PS 531 - Class 6 - Matrices, Information, and Influence Mar 04 2013 PS 531 - Class 5 - Matrices, Controlling for, Oh My! Feb 25 2013 PS 531 - Class 4 - What Is an Estimator? Feb 18 2013 PS 531 - Class 3 - What Is a Confidence Interval? Feb 11 2013 PS 531 - Class 2 - What Is a Hypothesis Test? Feb 04 2013 PS 531 - General Information Jan 29 2013 PS 531 - Class 1 - Fitting Criteria: How Shall We Justify a Model Fit? Jan 28 2013 PS 531 - Class 0 - Review and Overview: What Is at Stake in Choosing a Strategy for Description? Jan 14 2013
PS 531 - Class 1 - How Does a Linear Model Represent Comparisons? Which Fitting Criteria Do We Like? Jan 27 2014
PS 531 - Class 9 - CLT for OLS: What Do We Have to Believe to Believe a Canned Regression Table? Apr 08 2013
PS 531 - Class 8 - CLT and WLLN. Or Why Should We Believe Canned Regression Tables When We Haven't Resampled or Shuffled? Mar 29 2013
PS 531 - Class 7 - Goodness of Fit, Inference for Predictions and Other Linear Combinations Mar 11 2013
PS 531 - Class 0 - Review and Overview: What Is at Stake in Choosing a Strategy for Description? Jan 14 2013