Summary
A database comprising 9500 radio-band occupancy measurements cross-classified by 5 factors has been modelled using binomial errors and a logistic link. Reduction to a model with just 8 parameters uniformly across sub-divisions of the data gave an excellent fit. Statistically significant departures have been modelled using a Markov model for over-dispersion. Other approaches based on alternative signal strength distributions and an ordered categorical model are discussed.
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© 1989 Springer-Verlag Berlin Heidelberg
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Laycock, B.J., Gott, G.F. (1989). Markov Modelling for Extra-Binomial Variation in HF(Radio) Spectral Occupancy. In: Decarli, A., Francis, B.J., Gilchrist, R., Seeber, G.U.H. (eds) Statistical Modelling. Lecture Notes in Statistics, vol 57. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-3680-1_23
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DOI: https://doi.org/10.1007/978-1-4612-3680-1_23
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