Applied data analysis and modeling for energy engineers and scientists - Reddy, T. Agami (New York : Springer, 2011)
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.
Includes bibliographical references and index.
Keywords: Engineering -- Data processing; Engineering mathematics; Heat engineering