Generalized linear models for empirical performance modeling in circuit design

In recent years, designed experiments and response surface methods of analysis have been used in the design and optimization of electronic circuits. The key to this statistical approach is to build a set of accurate response models of the circuit performances. This paper introduces the class of Generalized Linear Models (GLMs), which extend classical linear regression models and often provide better-fitting surfaces for the description of circuit performance. GLMs have not so far been applied to electronic circuit design. A circuit design example is given.