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.
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© 1996 Springer Science+Business Media Dordrecht
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Kamakura, T. (1996). Trend Analysis of Multiple Counting Processes. In: Jewell, N.P., Kimber, A.C., Lee, ML.T., Whitmore, G.A. (eds) Lifetime Data: Models in Reliability and Survival Analysis. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-5654-8_21
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DOI: https://doi.org/10.1007/978-1-4757-5654-8_21
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4419-4753-6
Online ISBN: 978-1-4757-5654-8
eBook Packages: Springer Book Archive