part13 การเขียนบทคัดย่อภาษาอังกฤษ (ตรวจสอบ แก้ไข)

https://www.theopeneducator.com/home

http://faculty.mnsu.edu/shaheenahmed/#mobile-header-left-nav

Part I

Introductory Basics

Module 1

Introduction to Design of Experiments

The Open Educator Textbook Explanation with Examples and Video Demonstrations

Video Demonstration Only, Click on the Topic Below

1. What is Design of Experiments DOE?
2. Hypothesis Testing Basic
3. Explanation of Factor, Response, dependent, independent, variable
4. Levels of a Factor
5. Fixed Factor, Random Factor, and Block
6. Descriptive Statistics and Inferential Statistics
7. What is Analysis of Variance ANOVA & Why
8. p-value & Level of Significance
9. Errors in Statistical Tests Type 1, Type II, Type III

Module 2

Hypothesis Testing

The Open Educator Textbook Explanation with Examples and Video Demonstrations

Video Demonstration Only, Click on the Topic Below

1. Hypothesis Testing Basic
2. How to Choose an Appropriate Statistical Method/Test for Your Design of Experiments or Data Analysis
3. Single Sample Z Test Application, Data Collection, Analysis, Results Explained in MS Excel & Minitab
4. Single Sample T Test Application, Data Collection, Analysis, Results Explained in MS Excel & Minitab
5. Single Proportion Test Application, Data Collection, Analysis, Results Explained MS Excel & Minitab
6. Two-Sample Z Test Application, Data Collection, Analysis, Results Explained Using MS Excel & Minitab
7. Two Sample T Test Application, Data Collection, Analysis, Results Explained Using MS Excel & Minitab
8. Paired T Test Application, Data Collection, Analysis, Results Explained Using MS Excel & Minitab
9. Two Sample/Population Proportion Test Application, Analysis & Result Explained in MS Excel & Minitab

Module 3

Completely Randomized Design (CRD)

One-Way/Single Factor Analysis of Variance, ANOVA

The Open Educator Textbook Explanation with Examples and Video Demonstrations

Video Demonstration Only, Click on the Topic Below

1. One Way Single Factor Analysis of Variance ANOVA Completely Randomized Design Analysis in MS Excel
2. One Way Single Factor Analysis of Variance ANOVA Completely Randomized Design Analysis in Minitab
3. One Way Single Factor Analysis of Variance ANOVA Post Hoc Pairwise Comparison Analysis in MS Excel
4. Fixed vs Random Effect Model Explained with Examples Using Excel and Minitab

Module 4

Randomized Complete Block Design

The Open Educator Textbook Explanation with Examples and Video Demonstrations

Video Demonstration Only, Click on the Topic Below

1. Randomized Complete Block Design of Experiments RCBD Using Minitab 2020
2. Latin Square Design Using Minitab Updated 2020
3. Graeco Latin Square Design Updated 2020
4. Randomized Complete Block Design
5. Latin Square and Graeco Latin Square Design
6. Latin Square and Graeco Latin Square Design Analysis using Minitab

Part II

Screening the Important Factors/Variables

Module 5

Factorial Design of Experiments

The Open Educator Textbook Explanation with Examples and Video Demonstrations

Video Demonstration Only, Click on the Topic Below

1. Introduction to Factorial Design and the Main Effect Calculation
2. Calculate Two Factors Interaction Effect
3. Regression using the Calculated Effects
4. Basic Response Surface Methodology RSM Factorial Design
5. Construct ANOVA Table from the Effect Estimates

Module 6

2k Factorial Design of Experiments

The Open Educator Textbook Explanation with Examples and Video Demonstrations for All Topics

Video Demonstration Only, Click on the Topic Below

1. Introduction to 2K Factorial Design
2. Contrast, Effect, Sum of Square, Estimate Formula, ANOVA table
3. Design Layout and Construction of 2K Factorial Design Using MS Excel
4. Write Treatment Combinations Systematically and Flawlessly
5. Contrast, Effect, Estimate, and Sum of Square Calculation Using MS Excel
6. Comparisons between MS Excel, Minitab, SPSS, and SAS in Design and Analysis of Experiments

Module 7

Blocking and Confounding in 2k Design

The Open Educator Textbook Explanation with Examples and Video Demonstrations for All Topics

Video Demonstration Only, Click on the Topic Below

1. Introduction to Blocking and Confounding
2. Confounding in Factorial and Fractional Factorial
3. Blocking and Confounding Using -1/+1 Coding System
4. Blocking and Confounding Using Linear Combination Method
5. Multiple Blocking and Confounding, How To
6. Complete vs Partial Confounding and The Appropriate Use of Them
7. How Many Confounded Treatments are There in a Multiple Confounded Effects
8. How to Confound Three or More Effects in Eight or More Blocks

Module 8

Fractional Factorial Design

The Open Educator Textbook Explanation with Examples and Video Demonstrations

Video Demonstration Only, Click on the Topic Below

1. What is Fractional Factorial Design of Experiments
2. The One-Half Fraction Explained in 2K Fractional Factorial Design
3. Introduction to the Primary Basics of the Fractional Factorial Design
4. Design Resolution Explained
5. One-Half Fractional Factorial 2k Design Details Explained
6. How to Design a One-Half Fractional Factorial 2k Design using MS Excel
7. One-Quarter Fractional Factorial 2k Design
8. Design a One-Quarter Fractional Factorial 2k Design Using MS Excel
9. Calculate and Write All Effects in 2k Factorial Design Systematic Flawless
10. Write Alias Structure in 2K Fractional Factorial Design
11. Write Alias Structure in 2K Six Factor Quarter Fraction Factorial Design
12. Design a One-Eighth Fractional Factorial 2k Design Using MS Excel
13. 2K Alias Structure Solution an Example Solution
14. Fractional Factorial Data Analysis Example Minitab (Fractional Factorial DOE Data Analysis Example Document)
15. Design any Fractional Factorial Design with the Lowest Number of Possible Runs Easiest Method in MS Excel
16. The Easiest Way to Randomize an Experiment in using MS Excel
17. Plackett-Burman Fractional Factorial Design Using MS Excel
18. Plackett Burman Fractional Factorial Design of Experiments DOE Using Minitab

Part III

Optimize the Important Factors/Variables

Module 9

Applied Regression Analysis

The Open Educator Textbook Explanation with Examples and Video Demonstrations

Video Demonstration Only, Click on the Topic Below

1. Simple Linear Regression Analysis Using MS Excel and Minitab
2. Simple Linear Regression Analysis Real Life Example 1
3. Simple Linear Regression Analysis Real Life Example 2
4. Linear Regression Diagnostics Analysis

Module 10

Response Surface Methodology

The Open Educator Textbook Explanation with Examples and Video Demonstrations

Video Demonstration Only, Click on the Topic Below

1. What is Response Surface Methodology RSM and How to Learn it?
2. Basic Response Surface Methodology RSM Design and Analysis 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
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?

Part IV

Advanced Complex Mixed Factors

Design of Experiments

Module 11

Expected Mean Square

Basics to Complex Models

The Open Educator Textbook Explanation with Examples and Video Demonstrations

1. Expected Mean Square All Fixed Factors
2. Expected Mean Square Random Effect Model
3. Restricted vs Unrestricted Mixed Model Design of Experiments with Fixed and Random Factors
4. How to Systematically Develop Expected Mean Square Fixed and Random Mixed Effect Model
5. How to Systematically Develop Expected Mean Square Random, Nested, and Fixed Mixed Effect Model
6. Restricted vs Unrestricted Mixed Models, How to Choose the Appropriate Model

Module 12

Nested, & Repeated Measure, Split-Plot Design

The Open Educator Textbook Explanation with Examples and Video Demonstrations

Video Demonstration Only, Click on the Topic Below

1. Nested Design
2. Repeated Measure Design
3. Split Plot Design
4. Difference between Nested, Split Plot and Repeated Measure Design
5. Minitab Analysis Nested, Split Plot, and Repeated Measure Design
6. Analysis & Results Explained for Advanced DOE Partly Nested, Split-Plot, Mixed Fixed Random Models
7. Approximate F test | Pseudo F Test for Advanced Mixed Models nested, split plot, repeated measure

Part V

Taguchi Robust Parameter Design

Module 13

Taguchi Robust Parameter Design

The Open Educator Textbook Explanation with Examples and Video Demonstrations

Files Used in the Video

1. Data Used in the Video for Robust Parameter Taguchi Design
2. How to Construct Taguchi Orthogonal Arrays Bose Design Generator
3. How to Construct Taguchi Orthogonal Arrays Plackett-Burman Design Generator
4. Taguchi Linear Graphs Possible Interactions
5. Taguchi Interaction Table Development How to

Video Demonstrations

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. How to Construct Taguchi Orthogonal Array L8(2^7) in MS Excel
7. How to Construct Taguchi Orthogonal Array L9(3^4) in MS Excel
8. How to Construct Taguchi Orthogonal Array L16(4^5) in MS Excel (MS Excel file for the Design)
9. How to Construct Taguchi Orthogonal Array L16(2^15) in MS Excel
10. How to Construct Taguchi Orthogonal Array L32(2^31) in MS Excel
11. Construct Any (Taguchi) Orthogonal Arrays upto L36(2^35) in MS Excel
12. Taguchi Linear Graphs Explained and How to Use Them
13. Taguchi Triangular Interactions Table Explained and How to Use them in the Design of Experiments
14. Taguchi Interaction Table Construction Design of Experiments How to
15. Taguchi Linear Graphs, Interactions Table, Design Resolution, Alias Structure, & Fractional Factorial Design of Experiments
16. How to Create Robust Parameter Taguchi Design in Minitab
17. How to perform Robust Parameter Taguchi Static Analysis in Minitab
18. How to perform Robust Parameter Taguchi Dynamic Analysis in Minitab
19. How to perform Robust Parameter Taguchi Dynamic Analysis in MS Excel
20. Robust Parameter Taguchi Dynamic Analysis Regress Method in MS Excel and Minitab

Recommended Texts

General Design of Experiments

[The order is based on the Use of the Book]

1. Hinkelmann, K., & Kempthorne, O. (2007). Design and Analysis of Experiments, Introduction to Experimental Design (Volume 1). John Wiley & Sons. ISBN-13: 978-0471727569; ISBN-10: 0471727563.
2. Hinkelmann, K., & Kempthorne, O. (2005). Design and Analysis of Experiments, Advanced Experimental Design (Volume 2). John Wiley & Sons. ISBN-13: 978-0471551775; ISBN-10: 0471551775.
3. Montgomery, D. C. (2012). Design and analysis of experiments 8^th/E. John Wiley & Sons. ISBN-13: 978-1118146927; ISBN-10: 1118146921
4. Box, G. E., J. S. Hunter, et al. (2005). Statistics for experimenters: design, discovery and innovation, Wiley-Interscience.
5. Kempthorne, O. (1952). The design and analysis of experiments, John Wiley & Sons Inc.
6. Fisher, R. A., Bennett, J. H., Fisher, R. A., & Bennett, J. H. (1990). Statistical methods, experimental design, and scientific inference. Oxford University Press. ISBN-10: 0198522290; ISBN-13: 978-0198522294.

Regression & Response Surface

1. Kutner, M. H., Nachtsheim, C. J., Neter, J., & Li, W. (2013). Applied linear statistical models.
2. Myers, R. H., Montgomery, D. C., & Anderson-Cook, C. M. (2019). Response surface methodology: Process and product optimization using designed experiments. Hoboken: Wiley.

Robust Parameter Optimization

Taguchi Design of Experiments

1. Kacker, R. N., Lagergren, E. S., & Filliben, J. J. (1991). Taguchi’s orthogonal arrays are classical designs of experiments. Journal of research of the National Institute of Standards and Technology, 96(5), 577.
2. Plackett, R. L., & Burman, J. P. (1946). The design of optimum multifactorial experiments. Biometrika, 305-325. (for Video #11)
3. Taguchi, G., Chowdhury, S., Wu, Y., Taguchi, S., & Yano, H. (2011). Taguchi’s quality engineering handbook. Hoboken, N.J: John Wiley & Sons.
4. Chowdhury, S., & Taguchi, S. (2016). Robust Optimization: World’s Best Practices for Developing Winning Vehicles. John Wiley & Sons.

Random-Effect Models, Mixed Models, Nested, Split-Plot & Repeated Measure Design of Experiments

1. Kutner, M. H., Nachtsheim, C. J., Neter, J., & Li, W. (2013). Applied linear statistical models.
2. Quinn, G. P., & Keough, M. J. (2014). Experimental design and data analysis for biologists. Cambridge: Cambridge Univ. Press.