Authored and maintained by Dr. Tirthajyoti Sarkar , Fremont, California.
Check my website for detailes about my other projects and data science/ML articles.
Design of Experiment (DOE) is an important activity for any scientist, engineer, or statistician planning to conduct experimental analysis. This exercise has become critical in this age of rapidly expanding field of data science and associated statistical modeling and machine learning . A well-planned DOE can give a researcher meaningful data set to act upon with optimal number of experiments preserving critical resources.