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1:13:06
DoE Lecture 18: RSM Optimization and R Code
1:11:31
TSA Lecture 18: Periodic Processes and the DFT
1:12:58
DoE Lecture 17: Central Composite Design and more
1:10:20
TSA Lecture 17: Seasonal ARIMA in R Studio
1:19:48
TSA Lecture 16: Seasonal ARIMA Models
1:06:37
DoE Lecture 16: Response Surface Methodology
0:28:51
DoE Lecture 15.5: Sugarcane Data, a 3^(5-1) Design
1:21:27
DoE Lecture 15: 3-level Fractional Factorial Designs
1:27:47
TSA Lecture 15: Forecasting for ARMA
1:22:45
TSA Lecture 14: Estimation for ARMA
1:24:13
DoE Lecture 14: 3k Full Factorial Designs
1:12:16
DoE Lecture 13: Dealiasing Fractional Designs
1:11:11
TSA Lecture 13: Durbin-Levinson and Innovations Algorithms
1:22:52
TSA Lecture 12: Forecasting for AR(p)
1:20:58
Doe Lecture 12: Fractional Factorial Design
1:13:27
DoE Lecture 11: 2^k Blocking and Variance
1:28:00
TSA Lecture 11: Estimation for AR(p)
1:16:55
DoE Lecture 10: Full Factorial Design
1:19:19
TSA Lecture 10: ACF and PACF, Part 2
1:20:18
TSA Lecture 9: ACF and PACF, part 1
1:18:01
DoE Lecture 9: Multiple Testing with FDR
1:23:42
DoE Lecture 8: Multiple Testing with FWER
0:59:12
TSA Lecture 8: Stationarity and ACF in R
1:13:22
TSA Lecture 7: Autocorrelation and Stationarity
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