Transcription of Basic Concepts in Data Reconciliation Module: …
{{id}} {{{paragraph}}}
Basic Concepts in data Reconciliation Module: Introduction to data Reconciliation Program for North American Mobility in Higher Education Introducing Process Integration for Environmental Control in Engineering Curricula North Carolina State University, USA University of Ottawa, Canada, 2003. Basic Concepts in data Reconciliation Objective of this Module: This module introduces Concepts of data Reconciliation techniques that have been widely used in processing industries. Some examples are presented throughout the text, so that an audience can easily understand the data Reconciliation algorithms. After completing this module, an audience should be able to solve practical problems encountered in reconciling process data , either by their coded MATLAB programs, or commercial software.
Basic Concepts in Data Reconciliation © North Carolina State University, USA © University of Ottawa, Canada, 2003 1.3 Data reconciliation The estimation of a process state involves the processing of
Domain:
Source:
Link to this page:
Please notify us if you found a problem with this document:
{{id}} {{{paragraph}}}
CHAPTER 1 BASIC STATISTICAL DATA USED, CHAPTER 1, Chapter, Data, Central, Basic, Central Tendency, DESCRIBING AND USING DATA, DESCRIBING AND USING DATA Data, Regression analysis with cross-sectional data, 1 Regression Analysis with Cross-Sectional Data, Basic Ratemaking, Ratemaking, Used, Overview of the Research Process, 1 Overview of the Research Process, THE CERTIFIED QUALITY ENGINEER EXAM, 1 CHAPTER 1 THE CERTIFIED QUALITY ENGINEER EXAM 1