Parametric and Non-parametric System Modelling
نویسنده
چکیده
The conditional parametric model is an extension of the well known linear regression model, obtained by replacing the parameters by smooth functions. Estimation in such models may be accomplished by fitting a, possibly larger, linear model locally to some explanatory variable(s). In this report the conditional parametric model is described together with a method of estimation. An S-PLUS / R implementation is described and an example given. Since the user interface is similar to other S-PLUS / R functions for regression the software is easy to use. Furthermore, to increase speed, the core of the program is written in the ANSI-C programming language. The software allows for experimentation with variable bandwidth selection procedures and evaluation structures.
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