Abstract
The idea of a random variable or random event involves no assumption about the intrinsic nature of the phenomenon under investigation. Indeed, it may be a perfectly deterministic phenomenon, and yet a description of the measured quantities in terms of random variables can be extremely productive. If a mathematical theory is judged by its results, there can be no doubt that this is a very useful approach. In this book, we shall discuss this theory in detail, concentrating mainly on results that are relevant to applications in physics.
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Keywords
- Random Event
- Probability Density Function
- Discrete Random Variable
- Continuous Random Variable
- Conditional Probability Density Function
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© 2004 Springer Science+Business Media New York
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Réfrégier, P. (2004). Random Variables. In: Noise Theory and Application to Physics. Advanced Texts in Physics. Springer, New York, NY. https://doi.org/10.1007/978-0-387-22526-5_2
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DOI: https://doi.org/10.1007/978-0-387-22526-5_2
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4419-1896-3
Online ISBN: 978-0-387-22526-5
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