Abstract
The transmission and reception of information involves a message, or signal, which is distorted by noise. It is sometimes useful to think of scientific data as measurements composed of signal and noise and to construct mathematical models incorporating both of these components. Often the signal is regarded as deterministic (i.e. non-random) and the noise as random. Therefore, a mathematical model of the data combining both signal and noise is probabilistic and it is called a statistical model.
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© 1983 Annette J. Dobson
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Dobson, A.J. (1983). Model Fitting. In: Introduction to Statistical Modelling. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-3174-0_2
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DOI: https://doi.org/10.1007/978-1-4899-3174-0_2
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-412-24860-3
Online ISBN: 978-1-4899-3174-0
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