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Abstract

There are many quantities such as time, weight, length, temperature, etc., which we naturally think of as continuous variables; that is, as variables capable of taking any real value in some range. These are represented in probability theory by continuous variates, which we define in Section 1 below. Generally speaking, continuous variates are handled mathematically in much the same way as discrete variates, with sums in the discrete case being replaced by integrals in the continuous case. However, there is a difference in change of variables problems, since the Jacobian of the transformation plays a role in the continuous case but not in the discrete case.

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© 1985 Springer Science+Business Media New York

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Kalbfleisch, J.G. (1985). Continuous Variates. In: Probability and Statistical Inference. Springer Texts in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-1096-2_6

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  • DOI: https://doi.org/10.1007/978-1-4612-1096-2_6

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4612-7009-6

  • Online ISBN: 978-1-4612-1096-2

  • eBook Packages: Springer Book Archive

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