Abstract
This chapter collects the basic terms from probability theory and statistics. It motivates the axiomatic approach for the concept of probability, introduces the concept of a random variable, describes the key properties of the main distributions of random variables occurring when modelling observational uncertainties and testing hypotheses, and provides an introduction to stochastic processes.
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© 2016 Springer International Publishing Switzerland
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Förstner, W., Wrobel, B.P. (2016). Probability Theory and Random Variables. In: Photogrammetric Computer Vision. Geometry and Computing, vol 11. Springer, Cham. https://doi.org/10.1007/978-3-319-11550-4_2
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DOI: https://doi.org/10.1007/978-3-319-11550-4_2
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Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11549-8
Online ISBN: 978-3-319-11550-4
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