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Random Variables and Their Distribution
2013The purpose of performing experiments and collecting data is to gain information on certain quantities of interest called random variables. The exact value of these quantities cannot be known with absolute precision, but rather we can constrain the variable to a given range of values, narrower or wider according to the nature of the variable itself and
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Noble-Metal Based Random Alloy and Intermetallic Nanocrystals: Syntheses and Applications
Chemical Reviews, 2021Ming Zhou, Can Li, Jiye Fang
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On a Representation of Random Variables
Theory of Probability & Its Applications, 1977openaire +2 more sources
1994
Abstract Specializing the concepts of Chapter 7 to the case of real variables, this chapter introduces distribution functions, discrete and continuous distributions, and describes examples such as the binomial, uniform, Gaussian, Cauchy, and gamma distributions. It then treats multivariate distributions and the concept of independence.
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Abstract Specializing the concepts of Chapter 7 to the case of real variables, this chapter introduces distribution functions, discrete and continuous distributions, and describes examples such as the binomial, uniform, Gaussian, Cauchy, and gamma distributions. It then treats multivariate distributions and the concept of independence.
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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.
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Multiparametric prostate magnetic resonance imaging in the evaluation of prostate cancer
Ca-A Cancer Journal for Clinicians, 2016Baris Turkbey +2 more
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Random versus directionally persistent cell migration
Nature Reviews Molecular Cell Biology, 2009Ryan J Petrie, Kenneth M Yamada
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