Book description
This book discusses the theories, methods, and application techniques of the measurement data mathematical modeling and parameter estimation. It seeks to build a bridge between mathematical theory and engineering practice in the measurement data processing field so theoretical researchers and technical engineers can communicate. It is organized with abundant materials, such as illustrations, tables, examples, and exercises. The authors create examples to apply mathematical theory innovatively to measurement and control engineering. Not only does this reference provide theoretical knowledge, it provides information on first hand experiences.
Table of contents
- Front Cover
- Contents (1/2)
- Contents (2/2)
- Preface
- Authors
- Chapter 1: Error Theory (1/8)
- Chapter 1: Error Theory (2/8)
- Chapter 1: Error Theory (3/8)
- Chapter 1: Error Theory (4/8)
- Chapter 1: Error Theory (5/8)
- Chapter 1: Error Theory (6/8)
- Chapter 1: Error Theory (7/8)
- Chapter 1: Error Theory (8/8)
- Chapter 2: Parametric Representations of Functions to Be Estimated (1/11)
- Chapter 2: Parametric Representations of Functions to Be Estimated (2/11)
- Chapter 2: Parametric Representations of Functions to Be Estimated (3/11)
- Chapter 2: Parametric Representations of Functions to Be Estimated (4/11)
- Chapter 2: Parametric Representations of Functions to Be Estimated (5/11)
- Chapter 2: Parametric Representations of Functions to Be Estimated (6/11)
- Chapter 2: Parametric Representations of Functions to Be Estimated (7/11)
- Chapter 2: Parametric Representations of Functions to Be Estimated (8/11)
- Chapter 2: Parametric Representations of Functions to Be Estimated (9/11)
- Chapter 2: Parametric Representations of Functions to Be Estimated (10/11)
- Chapter 2: Parametric Representations of Functions to Be Estimated (11/11)
- Chapter 3: Methods of Modern Regression Analysis (1/28)
- Chapter 3: Methods of Modern Regression Analysis (2/28)
- Chapter 3: Methods of Modern Regression Analysis (3/28)
- Chapter 3: Methods of Modern Regression Analysis (4/28)
- Chapter 3: Methods of Modern Regression Analysis (5/28)
- Chapter 3: Methods of Modern Regression Analysis (6/28)
- Chapter 3: Methods of Modern Regression Analysis (7/28)
- Chapter 3: Methods of Modern Regression Analysis (8/28)
- Chapter 3: Methods of Modern Regression Analysis (9/28)
- Chapter 3: Methods of Modern Regression Analysis (10/28)
- Chapter 3: Methods of Modern Regression Analysis (11/28)
- Chapter 3: Methods of Modern Regression Analysis (12/28)
- Chapter 3: Methods of Modern Regression Analysis (13/28)
- Chapter 3: Methods of Modern Regression Analysis (14/28)
- Chapter 3: Methods of Modern Regression Analysis (15/28)
- Chapter 3: Methods of Modern Regression Analysis (16/28)
- Chapter 3: Methods of Modern Regression Analysis (17/28)
- Chapter 3: Methods of Modern Regression Analysis (18/28)
- Chapter 3: Methods of Modern Regression Analysis (19/28)
- Chapter 3: Methods of Modern Regression Analysis (20/28)
- Chapter 3: Methods of Modern Regression Analysis (21/28)
- Chapter 3: Methods of Modern Regression Analysis (22/28)
- Chapter 3: Methods of Modern Regression Analysis (23/28)
- Chapter 3: Methods of Modern Regression Analysis (24/28)
- Chapter 3: Methods of Modern Regression Analysis (25/28)
- Chapter 3: Methods of Modern Regression Analysis (26/28)
- Chapter 3: Methods of Modern Regression Analysis (27/28)
- Chapter 3: Methods of Modern Regression Analysis (28/28)
- Chapter 4: Methods of Time Series Analysis (1/14)
- Chapter 4: Methods of Time Series Analysis (2/14)
- Chapter 4: Methods of Time Series Analysis (3/14)
- Chapter 4: Methods of Time Series Analysis (4/14)
- Chapter 4: Methods of Time Series Analysis (5/14)
- Chapter 4: Methods of Time Series Analysis (6/14)
- Chapter 4: Methods of Time Series Analysis (7/14)
- Chapter 4: Methods of Time Series Analysis (8/14)
- Chapter 4: Methods of Time Series Analysis (9/14)
- Chapter 4: Methods of Time Series Analysis (10/14)
- Chapter 4: Methods of Time Series Analysis (11/14)
- Chapter 4: Methods of Time Series Analysis (12/14)
- Chapter 4: Methods of Time Series Analysis (13/14)
- Chapter 4: Methods of Time Series Analysis (14/14)
- Chapter 5: Discrete-Time Kalman Filter (1/10)
- Chapter 5: Discrete-Time Kalman Filter (2/10)
- Chapter 5: Discrete-Time Kalman Filter (3/10)
- Chapter 5: Discrete-Time Kalman Filter (4/10)
- Chapter 5: Discrete-Time Kalman Filter (5/10)
- Chapter 5: Discrete-Time Kalman Filter (6/10)
- Chapter 5: Discrete-Time Kalman Filter (7/10)
- Chapter 5: Discrete-Time Kalman Filter (8/10)
- Chapter 5: Discrete-Time Kalman Filter (9/10)
- Chapter 5: Discrete-Time Kalman Filter (10/10)
- Chapter 6: Processing Data from Radar Measurements (1/21)
- Chapter 6: Processing Data from Radar Measurements (2/21)
- Chapter 6: Processing Data from Radar Measurements (3/21)
- Chapter 6: Processing Data from Radar Measurements (4/21)
- Chapter 6: Processing Data from Radar Measurements (5/21)
- Chapter 6: Processing Data from Radar Measurements (6/21)
- Chapter 6: Processing Data from Radar Measurements (7/21)
- Chapter 6: Processing Data from Radar Measurements (8/21)
- Chapter 6: Processing Data from Radar Measurements (9/21)
- Chapter 6: Processing Data from Radar Measurements (10/21)
- Chapter 6: Processing Data from Radar Measurements (11/21)
- Chapter 6: Processing Data from Radar Measurements (12/21)
- Chapter 6: Processing Data from Radar Measurements (13/21)
- Chapter 6: Processing Data from Radar Measurements (14/21)
- Chapter 6: Processing Data from Radar Measurements (15/21)
- Chapter 6: Processing Data from Radar Measurements (16/21)
- Chapter 6: Processing Data from Radar Measurements (17/21)
- Chapter 6: Processing Data from Radar Measurements (18/21)
- Chapter 6: Processing Data from Radar Measurements (19/21)
- Chapter 6: Processing Data from Radar Measurements (20/21)
- Chapter 6: Processing Data from Radar Measurements (21/21)
- Chapter 7: Precise Orbit Determination of LEO Satellites Based on Dual-Frequency GPS (1/10)
- Chapter 7: Precise Orbit Determination of LEO Satellites Based on Dual-Frequency GPS (2/10)
- Chapter 7: Precise Orbit Determination of LEO Satellites Based on Dual-Frequency GPS (3/10)
- Chapter 7: Precise Orbit Determination of LEO Satellites Based on Dual-Frequency GPS (4/10)
- Chapter 7: Precise Orbit Determination of LEO Satellites Based on Dual-Frequency GPS (5/10)
- Chapter 7: Precise Orbit Determination of LEO Satellites Based on Dual-Frequency GPS (6/10)
- Chapter 7: Precise Orbit Determination of LEO Satellites Based on Dual-Frequency GPS (7/10)
- Chapter 7: Precise Orbit Determination of LEO Satellites Based on Dual-Frequency GPS (8/10)
- Chapter 7: Precise Orbit Determination of LEO Satellites Based on Dual-Frequency GPS (9/10)
- Chapter 7: Precise Orbit Determination of LEO Satellites Based on Dual-Frequency GPS (10/10)
- Appendix 1: Matrix Formulas in Common Use (1/2)
- Appendix 1: Matrix Formulas in Common Use (2/2)
- Appendix 2: Distributions in Common Use (1/3)
- Appendix 2: Distributions in Common Use (2/3)
- Appendix 2: Distributions in Common Use (3/3)
Product information
- Title: Measurement Data Modeling and Parameter Estimation
- Author(s):
- Release date: April 2016
- Publisher(s): CRC Press
- ISBN: 9781439853795
You might also like
book
Electronically Scanned Arrays MATLAB® Modeling and Simulation
"[Contains] more lengthy mathematical derivations than most {comparable books] … for arrays, provides for a unique, …
book
Case Studies in Bayesian Statistical Modelling and Analysis
Provides an accessible foundation to Bayesian analysis using real world models This book aims to present …
book
Test and Measurement: Know It All
The Newnes Know It All Series takes the best of what our authors have written to …
book
Optimization Techniques for Solving Complex Problems
Real-world problems and modern optimization techniques to solve them Here, a team of international experts brings …