Abstract
A statistical model for phenomena in the sciences or social sciences is a mathematical construct which associates a probability with each of the possible outcomes. When two different models are to be compared as explanations for the same observed outcome, or perhaps two variants of the same model differing only in the value of some adjustable parameter, the probability of obtaining this particular outcome can be calculated for each, and is then known as the likelihood for the hypothesis (or parameter value) given the particular outcome or ‘data’.
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Bibliography
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© 1990 Palgrave Macmillan, a division of Macmillan Publishers Limited
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Edwards, A.W.F. (1990). Likelihood. In: Eatwell, J., Milgate, M., Newman, P. (eds) Time Series and Statistics. The New Palgrave. Palgrave Macmillan, London. https://doi.org/10.1007/978-1-349-20865-4_16
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DOI: https://doi.org/10.1007/978-1-349-20865-4_16
Publisher Name: Palgrave Macmillan, London
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