Design of Experiments
Part I
Introductory Basics
Video Demonstration Only, Click on the Topic Below
Video Demonstration Only, Click on the Topic Below
How to Choose an Appropriate Statistical Method/Test for Your Design of Experiments or Data Analysis
Single Sample Z Test Application, Data Collection, Analysis, Results Explained in MS Excel & Minitab
Single Sample T Test Application, Data Collection, Analysis, Results Explained in MS Excel & Minitab
Single Proportion Test Application, Data Collection, Analysis, Results Explained MS Excel & Minitab
Two-Sample Z Test Application, Data Collection, Analysis, Results Explained Using MS Excel & Minitab
Two Sample T Test Application, Data Collection, Analysis, Results Explained Using MS Excel & Minitab
Paired T Test Application, Data Collection, Analysis, Results Explained Using MS Excel & Minitab
Two Sample/Population Proportion Test Application, Analysis & Result Explained in MS Excel & Minitab
Video Demonstration Only, Click on the Topic Below
One Way Single Factor Analysis of Variance ANOVA Completely Randomized Design Analysis in MS Excel
One Way Single Factor Analysis of Variance ANOVA Completely Randomized Design Analysis in Minitab
One Way Single Factor Analysis of Variance ANOVA Post Hoc Pairwise Comparison Analysis in MS Excel
Fixed vs Random Effect Model Explained with Examples Using Excel and Minitab
Video Demonstration Only, Click on the Topic Below
Part II
Screening the Important Factors/Variables
Video Demonstration Only, Click on the Topic Below
Video Demonstration Only, Click on the Topic Below
Video Demonstration Only, Click on the Topic Below
The One-Half Fraction Explained in 2K Fractional Factorial Design
Introduction to the Primary Basics of the Fractional Factorial Design
How to Design a One-Half Fractional Factorial 2k Design using MS Excel
Design a One-Quarter Fractional Factorial 2k Design Using MS Excel
Calculate and Write All Effects in 2k Factorial Design Systematic Flawless
Write Alias Structure in 2K Six Factor Quarter Fraction Factorial Design
Design a One-Eighth Fractional Factorial 2k Design Using MS Excel
Fractional Factorial Data Analysis Example Minitab (Fractional Factorial DOE Data Analysis Example Document)
The Easiest Way to Randomize an Experiment in using MS Excel
Plackett Burman Fractional Factorial Design of Experiments DOE Using Minitab
Part III
Optimize the Important Factors/Variables
Video Demonstration Only, Click on the Topic Below
Video Demonstration Only, Click on the Topic Below
What is Response Surface Methodology RSM and How to Learn it?
Basic Response Surface Methodology RSM Design and Analysis Minitab
Response Surface Design Layout Construction Minitab MS Excel
Multiple Response Optimization in Response Surface Methodology RSM
Box Behnken Response Surface Methodology RSM Design and Analysis Explained Example using Minitab
Is Box Behnken Better than the Central Composite Design in the Response Surface Methodology?
Part IV
Advanced Complex Mixed Factors
Design of Experiments
Restricted vs Unrestricted Mixed Model Design of Experiments with Fixed and Random Factors
How to Systematically Develop Expected Mean Square Fixed and Random Mixed Effect Model
How to Systematically Develop Expected Mean Square Random, Nested, and Fixed Mixed Effect Model
Restricted vs Unrestricted Mixed Models, How to Choose the Appropriate Model
Video Demonstration Only, Click on the Topic Below
Difference between Nested, Split Plot and Repeated Measure Design
Minitab Analysis Nested, Split Plot, and Repeated Measure Design
Analysis & Results Explained for Advanced DOE Partly Nested, Split-Plot, Mixed Fixed Random Models
Approximate F test | Pseudo F Test for Advanced Mixed Models nested, split plot, repeated measure
Part V
Taguchi Robust Parameter Design
Files Used in the Video
How to Construct Taguchi Orthogonal Arrays Bose Design Generator
How to Construct Taguchi Orthogonal Arrays Plackett-Burman Design Generator
Video Demonstrations
Introduction To Robust Parameter Taguchi Design of Experiments Analysis Steps Explained
Robust Parameter Taguchi Design Signal to Noise Ratio Calculation in MS Excel
How to Construct Taguchi Orthogonal Array L8(2^7) in MS Excel
How to Construct Taguchi Orthogonal Array L9(3^4) in MS Excel
How to Construct Taguchi Orthogonal Array L16(4^5) in MS Excel (MS Excel file for the Design)
How to Construct Taguchi Orthogonal Array L16(2^15) in MS Excel
How to Construct Taguchi Orthogonal Array L32(2^31) in MS Excel
Construct Any (Taguchi) Orthogonal Arrays upto L36(2^35) in MS Excel
Taguchi Triangular Interactions Table Explained and How to Use them in the Design of Experiments
Taguchi Interaction Table Construction Design of Experiments How to
How to perform Robust Parameter Taguchi Static Analysis in Minitab
How to perform Robust Parameter Taguchi Dynamic Analysis in Minitab
How to perform Robust Parameter Taguchi Dynamic Analysis in MS Excel
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]
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.
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.
Montgomery, D. C. (2012). Design and analysis of experiments 8th/E. John Wiley & Sons. ISBN-13: 978-1118146927; ISBN-10: 1118146921
Box, G. E., J. S. Hunter, et al. (2005). Statistics for experimenters: design, discovery and innovation, Wiley-Interscience.
Kempthorne, O. (1952). The design and analysis of experiments, John Wiley & Sons Inc.
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
Kutner, M. H., Nachtsheim, C. J., Neter, J., & Li, W. (2013). Applied linear statistical models.
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
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.
Plackett, R. L., & Burman, J. P. (1946). The design of optimum multifactorial experiments. Biometrika, 305-325. (for Video #11)
Taguchi, G., Chowdhury, S., Wu, Y., Taguchi, S., & Yano, H. (2011). Taguchi's quality engineering handbook. Hoboken, N.J: John Wiley & Sons.
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
Kutner, M. H., Nachtsheim, C. J., Neter, J., & Li, W. (2013). Applied linear statistical models.
Quinn, G. P., & Keough, M. J. (2014). Experimental design and data analysis for biologists. Cambridge: Cambridge Univ. Press.