Applied Data Analysis and Modeling for Energy Engineers and Scientists

• Main Author: Reddy, T. Agami (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Boston, MA : Springer US : Imprint: Springer, 2011.
• Subjects: Energy.; Energy efficiency.; Probabilities.; Statistics.; Thermodynamics.; Heat engineering.; Heat transfer.; Mass transfer.; Energy Efficiency (incl. Buildings).; Engineering Thermodynamics, Heat and Mass Transfer.; Probability Theory and Stochastic Processes.; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.

Applied Data Analysis and Modeling for Energy Engineers and Scientists fills an identified gap in engineering and science education and practice for both students and practitioners. It demonstrates how to apply concepts and methods learned in disparate courses such as mathematical modeling, probabil...

Table of Contents:

• Models, data analysis and decision making
• Probability concepts and probability distributions
• Data collection and preliminary data analysis
• Making statistical inferences from samples
• Estimation of linear model parameters using least squares
• Designed experiments and analysis of non-intrusive data
• Time series models
• Topics in optimization, parameter estimation and clustering methods
• Inverse problems and illustrative examples
• Decision analysis and risk modeling.