Proceedings of the Pacific Rim Statistical Conference for Production Engineering

Part I. Design and Collection of Big Data

1. Bottom-Up Estimation and Top-Down Prediction: Solar Energy Prediction Combining Information from Multiple Sources
Youngdeok Hwang, Siyuan Lu, Jae-Kwang Kim

2. The 62% Problems of SN Ratio and New Conference Matrix for Optimization: To Reduce Experiment Numbers and to Increase Reliability for Optimization
Teruo Mori

Part II. Analytic Methods of Big Data

3. Possible Clinical Use of Big Data: Personal Brain Connectomics
Dong Soo Lee

4. The Real-Time Tracking and Alarming the Early Neurological Deterioration Using Continuous Blood Pressure Monitoring in Patient with Acute Ischemic Stroke
Youngjo Lee, Maengseok Noh, Il Do Ha

Part III. Operation/Production Decision Making

5. Condition Monitoring and Operational Decision-Making in Modern Semiconductor Manufacturing Systems
Dragan Djurdjanovic

6. Multistage Manufacturing Processes: Innovations in Statistical Modeling andInference
Hsiang-Ling Hsu, Ching-Kang Ing, Tze Leung Lai, Shu-Hui Yu

Part IV. Reliability and Health Management

7. Recent Research in Dynamic Screening System for Sequential Process Monitoring
Peihua Qiu, Lu You

8. Degradation Analysis with Measurement Errors
Chien-Yu Peng, Hsueh-Fang Ai

Part V. Recent Advances in Statistical Methods

9. A Least Squares Method for Detecting Multiple Change Points in a Univariate Time Series
Kyu S. Hahn, Won Son, Hyungwon Choi, Johan Lim

10. Detecting the Change of Variance by Using Conditional Distribution with Diverse Copula Functions
Jong-Min Kim, Jaiwook Baik, Mitch Reller

11. Clustering Methods for Spherical Data: An Overview and a New Generalization
Sungsu Kim, Ashis SenGupta

12. A Semiparametric Inverse Gaussian Model and Inference for Survival Data
Sangbum Choi

Keywords: Statistics, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences, Big Data/Analytics