Applied Data Analysis and Modeling for Energy Engineers and Scientists - Softcover

Inhaltsangabe

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.

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.