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