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On the Use of Residence Time Moments in the Statistical Analysis of Age-Dependent Stochastic Compartmental Systems

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Mathematics in Biology and Medicine

Part of the book series: Lecture Notes in Biomathematics ((LNBM,volume 57))

Abstract

Most of the present compartmental modeling and analysis found in the applied literature is based on a classical deterministic formulation (1–4). An alternative stochastic formulation has developed rapidly in the mathematical modeling literature (5–7), but the practical application of this formulation to experimental data analysis has developed at a much slower pace. Two recent reviews have now shown that the stochastic model may be useful in practical applications for several reasons related to the statistical analysis of data (8,9).

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Author information

Authors and Affiliations

  1. Institute of Statistics, Texas A&M University, College Station, TX, 77843, USA

    J. H. Matis & T. E. Wehrly

Authors
  1. J. H. Matis
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  2. T. E. Wehrly
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Editor information

Editors and Affiliations

  1. Dipartimento di Matematica, Università di Bari, Palazzo Ateneo, 70121, Bari, Italy

    V. Capasso

  2. Istituto di Igiene, Università di Bari, Policlinico, 70100, Bari, Italy

    E. Grosso

  3. Istituto Universitario Navale, Via Acton 38, 80133, Napoli, Italy

    S. L. Paveri-Fontana

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© 1985 Springer-Verlag Berlin Heidelberg

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Matis, J.H., Wehrly, T.E. (1985). On the Use of Residence Time Moments in the Statistical Analysis of Age-Dependent Stochastic Compartmental Systems. In: Capasso, V., Grosso, E., Paveri-Fontana, S.L. (eds) Mathematics in Biology and Medicine. Lecture Notes in Biomathematics, vol 57. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-93287-8_53

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  • DOI: https://doi.org/10.1007/978-3-642-93287-8_53

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-15200-2

  • Online ISBN: 978-3-642-93287-8

  • eBook Packages: Springer Book Archive

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