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Time Series and Dynamic Systems

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Statistical Methods and Analyses for Medical Devices
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Abstract

When observations are not independent of each other, special methods are necessary for estimation and model-building. The Box-Jenkins approach is described for continuously valued response variables. The notion of Markov chains is also described for discretely valued variables.

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References

  • Box, G.E.P. & Jenkins, G.M., (1976) Time Series Analysis: forecasting and control (revised Ed.) Holden-Day, Oakland.

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  • Box, G.E.P., Jenkins, G.M. & Reinsel, G.C. (2008). Time Series Analysis: forecasting and control (4th ed.) John Wiley and Sons, Oxford.

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  • Cryer, J. D. (1986). Time series analysis. Duxbury Press.

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  • Fosler-Lussier, E. (1998). Markov models and hidden Markov models: A brief tutorial, TR-98-041. International Computer Science Institute.

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  • Grimmett, G., & Stirzaker, D. (2004). Introduction to probability and random processes (3rd ed.). Oxford University Press.

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Pardo, S.A. (2023). Time Series and Dynamic Systems. In: Statistical Methods and Analyses for Medical Devices. Springer, Cham. https://doi.org/10.1007/978-3-031-26139-8_16

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