Publication

Table of Contents

Mahalanobis-Taguchi system using Minitab

My motivation to write, Mahalanobis-Taguchi system using Minitab, published by Eretec, Seoul, Korea, came out when I studied MTS. In 2000, I was so confident that MTS would be used widely to solve business problem in various industries as computing power of computer enhanced dramatically.

I wrote this book to help engineers, researchers, and problem solvers who have no background in statistics and Taguchi quality engineering learn MTS. 

The first edition was published in Seoul, 2012 and the revised edition was published in 2019.

Contents

Chapter 1: Pattern Recognition and Mahalanobis-Taguchi system

Chapter 2: How to measure distance in multivariate space

Chapter 3: Mahalanobis-Taguchi system

Chapter 4: Mahalanobis-Taguchi-Gram-Schmidts

Chapter 5: An Experiment to Develop Voice Recognition system using Smart Phone

Chapter 6: Developing Iris Classification system with MTS

Chapter 7: How to Diagnose Breast Cancer with MTS

Chapter 8: Parameter Design for Developing Copy Machine with MTS

Chapter 9: How to Diagnose Abnormality of Rotator Machine with MTS

Chapter 10: How to Develop Hand Written Character Recognition system with MTS

Chapter 11: Forecasting Real Estate Auction Price Results with MTS

Chapter 12: Monitoring Irradiated Mice Rehabilitation with MTGS  

Modern Design of Experiment using Minitab

My co-authored book, Modern Design of Experiment using Minitab, published by Minyoung-sa, in 2010 in Seoul, for Korean readers, and the 3rd edition has been published in 2018. This book has long been widely used in college and university as a textbook in South Korea.

Contents

Chapter 1: The idea of Design of Experiment 

Chapter 2: Basic Statistics for DOE

Chapter 3: One -Factor ANOVA

Chapter 4: Two-Factor ANOVA without Replication

Chapter 5: Two-Factor ANOVA with Replication

Chapter 6: Multi-Factor ANOVA

Chapter 7: Split-plot Design

Chapter 8: Correlation and Regression

Chapter 9: Factorial Design

Chapter 10: Fractional Factorial Design and Confounding

Chapter 11: Experiment with Orthogonal Array

Chapter 12: Response Surface Methodology

Chapter 13: Mixture Experiment

Chapter 14: Taguchi Experiment   

The Power of Quality Solutions