Univariate distribution
In today's article we will explore the topic of Univariate distribution, a question that has sparked interest and debate for a long time. Univariate distribution is a relevant and controversial topic that has captured the attention of academics, experts and the general public. Over the years, Univariate distribution has been the subject of multiple investigations, studies and reflections, which have shed light on different aspects related to this topic. In this article, we will analyze the different perspectives and approaches that have been adopted to address Univariate distribution, with the aim of deepening its understanding and scope.
In statistics, a univariate distribution is a probability distribution of only one random variable. This is in contrast to a multivariate distribution, the probability distribution of a random vector (consisting of multiple random variables).
Examples
One of the simplest examples of a discrete univariate distribution is the discrete uniform distribution, where all elements of a finite set are equally likely. It is the probability model for the outcomes of tossing a fair coin, rolling a fair die, etc. The univariate continuous uniform distribution on an interval has the property that all sub-intervals of the same length are equally likely.
Other examples of discrete univariate distributions include the binomial, geometric, negative binomial, and Poisson distributions.[1] At least 750 univariate discrete distributions have been reported in the literature.[2]
Examples of commonly applied continuous univariate distributions[3] include the normal distribution, Student's t distribution, chisquare distribution, F distribution, exponential and gamma distributions.
See also
References
- ^ Johnson, N.L., Kemp, A.W., and Kotz, S. (2005) Discrete Univariate Distributions, 3rd Edition, Wiley, ISBN 978-0-471-27246-5.
- ^ Wimmer G, Altmann G (1999) Thesaurus of univariate discrete probability distributions. STAMM Verlag GmbH Essen, 1st ed XXVII ISBN 3-87773-025-6
- ^ Johnson N.L., Kotz S, Balakrishnan N. (1994) Continuous Univariate Distributions Vol 1. Wiley Series in Probability and Statistics.
Further reading
- Leemis, L. M.; McQueston, J. T. (2008). "Univariate Distribution Relationships" (PDF). The American Statistician. 62: 45–53. doi:10.1198/000313008X270448.
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