Abstract
In recent years, there are numerous articles about computer model calibration. But these articles mainly focus on continuous output variables for the convenience of the derivation. However, there are some other types of output data in the application area, such as binary data and count data, the former of which has been investigated very well in the area of computer model calibration and applied to cell adhesion study successfully. Inspired by the existing methods for binary data, we propose a model calibration procedure for count response, and derive the consistency and asymptotic normality of the proposed estimator of the calibration parameters by the theory of empirical process. Some simulations are conducted to verify the good performance of the proposed method.
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