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- W70897413 abstract "Publisher Summary This chapter discusses the fitting of multistage models to input /output data. In the present study, it is assumed that the objective of modeling a dynamic system is to predict or control the output of the system by observing or manipulating the inputs. The model is a digital computer program, which, when supplied with the measurements of the past and present input and output, computes the predicted future output of the system. The random nature of the problem is considered in developing the model, but the model is a deterministic system. System characterization and system identification are the principal aspects of modeling. System characterization is concerned with defining a class of mathematical models and system identification is concerned with the determination of the specific model belonging to this preselected class, which best fits the observations. The class of models examined in the present study is linear stationary multistage processes. The usefulness and convenience of linear models are well known and many techniques have been proposed to fit linear models to input/output data." @default.
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- W70897413 date "1974-01-01" @default.
- W70897413 modified "2023-09-26" @default.
- W70897413 title "Fitting Multistage Models to Input/Output Data" @default.
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- W70897413 doi "https://doi.org/10.1016/b978-0-12-012711-5.50007-9" @default.
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