Bayesian inference and data assimilation
Professor Yoonsang Lee at Dartmouth college came to KAIST and gave two lectures on Bayesian inference and data assimilation. This post is a brief summary.
English Posts
Review: Acceptance Sampling
Abstract
Standards for quality control become higher as technology is miniaturized and advances. It is necessary to develop advanced sampling plans to meet high standards because traditional sampling plans need a relatively big sample size that is not economical. There have been approaches to reduce the sample size while controlling the correctness of a test. This paper includes basic approaches and their implications, such as some principles of sample size reduction. One can understand basic concepts of acceptance sampling plans and how to calculate corresponding probabilities by reading this paper. Anyone who is interested in sampling plans but doesn't know where to start is a potential reader for this paper.