Abstract
Until now, all experiments E have had discrete events {A n } as their outputs, as in rolls of a die. On the other hand, everyday experience tells us that continuously random events often occur, as in the waiting time t for a train, or the position x at which a photon strikes the image plane.
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Clarke, L. E.: Random Variables (Longman, New York 1975)
Feller, W.: An Introduction to Probability Theory and Its Applications, Vol. II (Wiley, New York 1966)
Papoulis, A.: Probability, Random Variables and Stochastic Processes (McGraw-Hill, New York 1965)
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© 1991 Springer-Verlag Berlin Heidelberg
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Frieden, B.R. (1991). Continuous Random Variables. In: Probability, Statistical Optics, and Data Testing. Springer Series in Information Sciences, vol 10. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-97289-8_3
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DOI: https://doi.org/10.1007/978-3-642-97289-8_3
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