[ Ссылка ]
[ Ссылка ]
Module 0. Introduction to Design of Experiments
1. What is Design of Experiments DOE?
2. Explanation of Factor, Response, dependent, independent, variable
3. Levels of a Factor
4. Fixed Factor, Random Factor, and Block
5. Descriptive Statistics and Inferential Statistics Explained with Example
6. What is Analysis of Variance ANOVA & Why Explained with Example
Module 1. Introduction to Hypothesis Testing
1. p-value & Level of Significance
2. Hypothesis Testing Basic
3. Errors in Statistical Tests Type 1, Type II, Type III
4. Hypothesis Two Sample
5. Two Sample Paired t-test
Module 2. Introduction to Analysis of Variance, ANOVA
1. Completely Randomized Design
2. Completely Randomized Design Minitab
3. Fixed Random Effect Model
Module 3. Randomized Complete Block Design
1. Randomized Complete Block Design
2. Latin Square Graeco Latin
3. Latin Square Graeco Latin Analysis in Minitab
Module 4. Factorial Design of Experiments
1. Introduction to Factorial Design of Experiment DOE and the Main Effect Calculation Explained Example
2. How to calculate Two Factors Interaction Effect in Any Design of Experiments DOE Explained Examples
3. How to Develop Regression using the Calculated Effects from a Factorial Design of Experiment
4. Basic Response Surface Methodology RSM Factorial Design of Experiments DOE Explained With Examples
5. How to Construct ANOVA Table from the Effect Estimates from the Factorial Design of Experiments DOE
Module 5. 2K Factorial Design of Experiments
1. 2K Design Introduction
2. 2K Design Layout
3. 2K Sum of Square
4. 2K Effect, Estimate, and Sum of Square
5. MS Excel Minitab SAS SPSS
Module 6. Blocking and Confounding in 2K Design
1. 2K Blocking Confounding
2. 2K Blocking Confounding Linear Combination Method
3. 2K Blocking Confounding Multiple Blocks
4. 2K Blocking Confounding Complete vs Partial
5. 2K Blocking Confounding Number of Confounded Treatments Multiple blocks
6. 2K Blocking Confounding 8 blocks
Module 7. Fractional Factorial Design
1. 2K The One Half Fraction Introduction
2. 2K The One Half Fraction Design Layout Construction
3. 2K Design Resolution
4. 2K the Two Half Fractions of the one-half fractional design
5. 2K The One Quarter Fraction
6. 2K How to Write All Factorial Effects, the Easy and Systematic Way
7. 2K Alias Structure
8. 2K Alias Structure Montgomery Problem # 8.10
9. Fractional Factorial DOE Data Analysis Example Minitab (Fractional Factorial DOE Data Analysis Example Document)
Module 8. Introduction to Regression Analysis
1. Basic Regression Analysis Example in MS Excel Minitab
2. Basic Simple Linear Regression Explained Analysis Example
3. The Four Steps of Regression Analysis
4. Linear Regression Diagnostics
Module 9. Response Surface Methodology
1. What is Response Surface Methodology RSM and How to Learn it?
2. Basic Response Surface Methodology RSM Design and Analysis Example Minitab
3. Response Surface Basic Central Composite Design
4. Response Surface Central Composite Design in MS Excel
5. Response Surface Design Layout Construction Minitab MS Excel
6. Response Surface Design Analysis Example Minitab
7. Multiple Response Optimization in Response Surface Methodology RSM Design of Experiments DOE
8. Box Behnken Response Surface Methodology RSM Design and Analysis Explained Example using Minitab
9. Is Box Behnken Better than the Central Composite Design in the Response Surface Methodology?
Module 10. Robust Parameter Design (Taguchi Design of Experiments)
Data Used in the Video for Robust Parameter Taguchi Design of Experiment
How to Construct Taguchi Orthogonal Arrays Bose Design Generator
How to Construct Taguchi Orthogonal Arrays Plackett-Burman Design Generator
Taguchi Linear Graphs Possible Interactions
Taguchi Interaction Table Development How to
1. Robust parameter Taguchi Design Terms Explained
2. Introduction To Robust Parameter Taguchi Design of Experiments Analysis Steps Explained
3. Robust Parameter Taguchi Design Signal to Noise Ratio Calculation in MS Excel
4. Robust Parameter Taguchi Design Example in MS Excel
5. Robust Parameter Taguchi Design Example in Minitab
6. and Many more
16. How to Create Robust Parameter Taguchi Design in Minitab
17. How to perform Robust Parameter Taguchi Static Analysis in Minitab
20. Robust Parameter Taguchi Dynamic Analysis Regress Method in MS Excel and Minitab
Module 11. Expected Mean Square: the basics to complex models
1. Expected Mean Square All Fixed Factors
2. Expected Mean Square One Randon Two Fixed (Mixed) Model
3. Expected Mean Square Random Effect Model
4. Expected Mean Square Random, Nested, and Fixed (Mixed) Effect Model
Module 12. Nested, Split-Plot & Repeated Measure
1. Nested Design
2. Repeated Measure Design
3. Split Plot Design
4. Difference between Nested, Split Plot and Repeated Design of Experiment
5. Minitab Analysis Nested, Split Plot, and Repeated Measure Design of Experiment
