Horimek Abderrahmane · BENTHAM SCIENCE PUBLISHERS eBooks · 2024
After the great progress in the theory of probability as a science, the passage towards more flexible and representative definitions and the possibility to be implemented numerically gave the need for a new formulation. From there, the random variable came into existence. Although random problems can be of different kinds, the random variable can be discrete or continuous, qualitative or quantitative. This chapter is dedicated to its extended definition and its exploitation in a simplified way.
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Søren Westh Asmussen · 2004
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Encyclopedia of Research Design · 2010
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Lin Wang · 2013
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SpringerReference · 2012
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Gani, Joseph · ANU Open Research (Australian National University) · 2015
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Van Nostrand's Scientific Encyclopedia · 2005
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2008
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Ricardo A. Olea · Encyclopedia of earth sciences series/Encyclopedia of earth sciences · 2022
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Jimin Zhang, Hechao Zhou · 2025
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Taekyun Kim, Dae San Kim · arXiv (Cornell University) · 2024
Let X be the Laplacian random variable with parameters (a,b)=(0,1), and let X1, X2, X3 , ...be a sequence of mutually independent copies of X$. In this note, we explicitly determine the moments of the Laplacian random variable in terms of the Bernoulli and Euler numbers.
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Christian P. Robert, George Casella · Springer texts in statistics · 2004
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WORLD SCIENTIFIC eBooks · 2017
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2009
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Fabián, Zdeněk · Digital Repository (National Repository of Grey Literature) · 1993
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Valery A. Kalyagin, A. P. Koldanov, P. A. Koldanov et al. · SpringerBriefs in optimization · 2020
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Patrick Schaumont, Jeff Casarona, Luke Mchale et al. · 2014
2What is a Physical Unclonable Function? • A one-way function with a mapping determined by uncontrolled, but static, variations of a physical object
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Ming Li, Bayes Rule · 2014
• Define probability of an event as P(A) • Axioms of probability – 0<=P(A)<=1 – P (Certain Event) = 1, P (Impossible Event) =0 – If A and B are Mutually Exclusive i.e. • A and B are Independent Events if P(AB) = P(A)P(B)
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Christian P. Robert, George Casella · Springer texts in statistics · 1999
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