A repository for my lectures on mathematics & statistics & more. I feel very strongly about open access to educational resources. Hence, I hope you enjoy my lecture videos.
- Adam B Kashlak

All of Linear Regression Analysis
1:35:19
All of Linear Regression Analysis
Linear Regression Analysis 0: R Tutorial
59:49
Linear Regression Analysis 0: R Tutorial
Design of Experiments, Lecture 11: 2^k Blocking and Variance
1:13:27
Design of Experiments, Lecture 11: 2^k Blocking and Variance
Design of Experiments, Lecture 14: 3k Full Factorial Designs
1:24:13
Design of Experiments, Lecture 14: 3k Full Factorial Designs
Design of Experiments, Lecture 8: Multiple Testing with FWER
1:23:42
Design of Experiments, Lecture 8: Multiple Testing with FWER
Design of Experiments, Lecture 10: Full Factorial Design
1:16:55
Design of Experiments, Lecture 10: Full Factorial Design
Design of Experiments, Lecture 12: Fractional Factorial Design
1:20:58
Design of Experiments, Lecture 12: Fractional Factorial Design
Design of Experiments, Lecture 13: Dealiasing Fractional Designs
1:12:16
Design of Experiments, Lecture 13: Dealiasing Fractional Designs
Design of Experiments, Lecture 9: Multiple Testing with FDR
1:18:01
Design of Experiments, Lecture 9: Multiple Testing with FDR
Design of Experiments, Lecture 7: Nested Factors and ANCOVA
1:15:58
Design of Experiments, Lecture 7: Nested Factors and ANCOVA
Design of Experiments, Lecture 6: Balanced Incomplete Block Designs and Split Plots
1:12:59
Design of Experiments, Lecture 6: Balanced Incomplete Block Designs and Split Plots
Design of Experiments, Lecture 4: Randomized Block Design
1:17:54
Design of Experiments, Lecture 4: Randomized Block Design
Design of Experiments, Lecture 5: Two Way ANOVA and Latin Squares
1:20:15
Design of Experiments, Lecture 5: Two Way ANOVA and Latin Squares
Design of Experiments, Lecture 3: Cochran's Theorem
57:16
Design of Experiments, Lecture 3: Cochran's Theorem
Design of Experiments, Lecture 2: Post-Hoc Tukey Test
1:18:49
Design of Experiments, Lecture 2: Post-Hoc Tukey Test
Design of Experiments, Lecture 1: One-Way ANOVA
1:20:33
Design of Experiments, Lecture 1: One-Way ANOVA
Probability and Measure, Lecture 13: The Ergodic Theorem
1:40:42
Probability and Measure, Lecture 13: The Ergodic Theorem
Probability and Measure, Lecture 11: The Strong Law of Large Numbers
1:35:27
Probability and Measure, Lecture 11: The Strong Law of Large Numbers
Probability and Measure, Lecture 12: The Central Limit Theorem
1:18:25
Probability and Measure, Lecture 12: The Central Limit Theorem
Probability and Measure, Lecture 10: Convergence of Measures
1:41:59
Probability and Measure, Lecture 10: Convergence of Measures
Probability and Measure, Lecture 9: Lp spaces and Inequalities
1:41:17
Probability and Measure, Lecture 9: Lp spaces and Inequalities
Time Series Analysis, Lecture 24: The GARCH Process
1:17:06
Time Series Analysis, Lecture 24: The GARCH Process
Time Series Analysis: Review Lecture
45:41
Time Series Analysis: Review Lecture
Time Series Analysis, Lecture 23: Exponential Smoothing
59:59
Time Series Analysis, Lecture 23: Exponential Smoothing
Time Series Analysis, Lecture 19: Spectral Density and Distribution
1:28:07
Time Series Analysis, Lecture 19: Spectral Density and Distribution
Time Series Analysis, Lecture 22: Estimating the Spectral Density Part III
1:17:38
Time Series Analysis, Lecture 22: Estimating the Spectral Density Part III
Time Series Analysis, Lecture 21: Estimating Spectral Density Part II
1:15:26
Time Series Analysis, Lecture 21: Estimating Spectral Density Part II
Time Series Analysis, Lecture 20: Estimating the Spectral Density
1:19:36
Time Series Analysis, Lecture 20: Estimating the Spectral Density
Time Series Analysis, Lecture 17: Seasonal ARIMA in R Studio
1:10:20
Time Series Analysis, Lecture 17: Seasonal ARIMA in R Studio
Time Series Analysis, Lecture 18: Periodic Processes and the DFT
1:11:31
Time Series Analysis, Lecture 18: Periodic Processes and the DFT