Trend analysis of multiple counting processes

We deal with the problem of the inference on the trend parameter that is common to multiple independent processes with different base-line intensities assuming nonhomogeneous Poisson processes. Two parametric intensity models are well investigated with focus on bias reduction and conditional inference. We present the theorem for conditional inference on the trend parameter.