Adam Kashlak
A source for my university lectures and more
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Probability and Measure, Lecture 8: Product Measure and Fubini-Tonelli
Probability and Measure, Lecture 6: Integration and Convergence Theorems
Probability and Measure, Lecture 7: Lebesgue-Stieltjes Measure and Monotone Classes
Probability and Measure, Lecture 5: Measurable Functions
Probability and Measure, Lecture 4: Lebesgue Measure
Probability and Measure, Lecture 3: Uniqueness and Dykin's Pi-Lambda Theorem
Probability and Measure, Lecture 2: Carathéodory's Extension Theorem
Probability and Measure Lecture 1: What is a Measure?
Channel Updates, January 2022
DoE Review Lecture
TSA Review Lecture
TSA Lecture 24: The GARCH Process
DoE Lecture 24: Crossover Design
TSA Lecture 23: Exponential Smoothing
DoE Lecture 23: Non-Normal Data in R Studio
TSA Lecture 22: Estimating the Spectral Density III
DoE Lecture 22: Designs with Non-Normal Data
DoE Lecture 21: Plackett-Burman Designs
TSA Lecture 21: Estimating the Spectral Density II
TSA Lecture 20: Estimating the Spectral Density
DoE Lecture 20: Mixed Level Designs and Designing Experiments in R
TSA Lecture 19: Spectral Density and Distribution
DoE Lecture 19: Prime and Mixed Level Designs
DoE Lecture 18: RSM Optimization and R Code
TSA Lecture 18: Periodic Processes and the DFT
DoE Lecture 17: Central Composite Design and more
TSA Lecture 17: Seasonal ARIMA in R Studio
TSA Lecture 16: Seasonal ARIMA Models
DoE Lecture 16: Response Surface Methodology