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Gaussian Distributions and Random Variables

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Part of the book series: Mathematics and Its Applications ((MAIA,volume 322))

Abstract

Assume that a, σ are real numbers, σ › 0. The Gaussiant distribution N(a, σ2) is a measure defined on the Borel σ-algebra B 1 of the space ℝ1, whose density with respect to the Lebesgue measure is

$$p(r) = {(2\pi )^{ - 1/2}}{\sigma ^2}\exp \{ - {(r - a)^2}/2{\sigma ^2}\} $$
(1)

.

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© 1995 Springer Science+Business Media Dordrecht

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Lifshits, M.A. (1995). Gaussian Distributions and Random Variables. In: Gaussian Random Functions. Mathematics and Its Applications, vol 322. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-8474-6_1

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  • DOI: https://doi.org/10.1007/978-94-015-8474-6_1

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-481-4528-7

  • Online ISBN: 978-94-015-8474-6

  • eBook Packages: Springer Book Archive

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