Trend Analysis of Multiple Counting Processes

T. Kamakura
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T. Kamakura: Chuo University, Department of Industrial & Systems Engineering

A chapter in Lifetime Data: Models in Reliability and Survival Analysis, 1996, pp 149-156 from Springer

Abstract: Abstract 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.

Date: 1996
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DOI: 10.1007/978-1-4757-5654-8_21

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