Foreign Language Math Science Social Science Business Engineering & Technology Arts & Humanities History Miscellaneous Standardized tests
  1. Business
  2. Economics
  3. Econometrics
Lecture 6: Optimization
Lecture 6: Optimization
Lecture 6: Multiple regressoin, interaction
Lecture 6: Multiple regressoin, interaction
Lecture 6: Multiple Regression - School of Psychology
Lecture 6: Multiple Regression - School of Psychology
Lecture 6 Heteroscedasticity and Autocorrelation Research Methods
Lecture 6 Heteroscedasticity and Autocorrelation Research Methods
Lecture 6 - BYU Department of Economics
Lecture 6 - BYU Department of Economics
Lecture 6 Multiple Linear Regression II
Lecture 6 Multiple Linear Regression II
Lecture 6
Lecture 6
Lecture 6
Lecture 6
Lecture 6
Lecture 6
Lecture 5: Simple Linear Regression - School of Psychology
Lecture 5: Simple Linear Regression - School of Psychology
Lecture 5: Box-Jenkins methodology
Lecture 5: Box-Jenkins methodology
Lecture 5: Bad Controls, Standard Errors, Quantile Regression
Lecture 5: Bad Controls, Standard Errors, Quantile Regression
Lecture 5 - Regression Analysis
Lecture 5 - Regression Analysis
Lecture 5
Lecture 5
Lecture 5
Lecture 5
Lecture 5
Lecture 5
Lecture 4. Multiparty Communication Complexity
Lecture 4. Multiparty Communication Complexity
Lecture 4 slides
Lecture 4 slides
Lecture 4 - Univariate Linear Regression
Lecture 4 - Univariate Linear Regression
Lecture 4 - notes - for Dr. Jason P. Turner
Lecture 4 - notes - for Dr. Jason P. Turner
Lecture 4 - BYU Department of Economics
Lecture 4 - BYU Department of Economics
Lecture 4
Lecture 4
Lecture 3: Introduction to path analysis
Lecture 3: Introduction to path analysis
Lecture 37: Three Factors - RCBD Treatment Combinations Example
Lecture 37: Three Factors - RCBD Treatment Combinations Example