tailieunhanh - Engineering Statistics Handbook Episode 5 Part 5

Tham khảo tài liệu 'engineering statistics handbook episode 5 part 5', kỹ thuật - công nghệ, cơ khí - chế tạo máy phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả | 4. Process Modeling ENGINEERING STATISTICS HANDBOOK hW tools raids lỉEÂtCH BACK Nixf 4. Process Modeling The goal for this chapter is to present the background and specific analysis techniques needed to construct a statistical model that describes a particular scientific or engineering process. The types of models discussed in this chapter are limited to those based on an explicit mathematical function. These types of models can be used for prediction of process outputs for calibration or for process optimization. 1. Introduction 1. Definition 2. Terminology 3. Uses 4. Methods 3. Design 1. Definition 2. Importance 3. Design Principles 4. Optimal Designs 5. Assessment 5. Interpretation Use 1. Prediction 2. Calibration 3. Optimization 2. Assumptions 1. Assumptions 4. Analysis 1. Modeling Steps 2. Model Selection 3. Model Fitting 4. Model Validation 5. Model Improvement 6. Case Studies 1. Load Cell Output 2. Alaska Pipeline 3. Ultrasonic Reference Block 4. Thermal Expansion of Copper Detailed Table of Contents Process Modeling References Process Modeling Appendix Some Useful Functions for Process Modeling http div898 handbook pmd 1 of 2 5 1 2006 10 21 49 AM 4. Process Modeling SEMMECH MOME rTOOLS IM SEARCH BACK NEXT http div898 handbook pmd 2 of 2 5 1 2006 10 21 49 AM 4. Process Modeling 6. The explanatory variables are observed without error. . 3. Data Collection for Process Modeling . 1. What is design of experiments aka DEX or DOE . 2. Why is experimental design important for process modeling . 3. What are some general design principles for process modeling . 4. I ve heard some people refer to optimal designs shouldn t I use those . 5. How can I tell if a particular experimental design is good for my application . 4. Data Analysis for Process Modeling . 1. What are the basic steps for developing an effective process model . 2. How do I select a function to describe my .