A tour of probability distributions
Random variables have a probability distribution that under certain circumstances is given in terms of a known expression. Many times this formula is easily deduced from the context in which the random variable arises, while at other times it is not so clear. In this article, we seek to take a furth...
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| Formato: | Artículo revista |
| Lenguaje: | Español |
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Unión Matemática Argentina - Facultad de Matemática, Astronomía, Física y Computación
2021
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| Acceso en línea: | https://revistas.unc.edu.ar/index.php/REM/article/view/30460 |
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I10-R366-article-304602021-08-19T16:15:34Z A tour of probability distributions Un recorrido por las distribuciones de probabilidad Nores, María Laura variable aleatoria discreta variable aleatoria continua densidad independencia discrete random variable continuous random variable density independence Random variables have a probability distribution that under certain circumstances is given in terms of a known expression. Many times this formula is easily deduced from the context in which the random variable arises, while at other times it is not so clear. In this article, we seek to take a further step in understanding the most well-known probability distributions, trying to get deep into the motivation that gives them origin and in the deduction of their expression, also highlighting existing relationships between some distributions. In this way, the work contributes to provide elements to discern when it is reasonable to assume a certain distribution for a random variable under consideration. Las variables aleatorias tienen una distribución de probabilidad que bajo ciertas circunstancias viene dada en términos de una expresión conocida. Muchas veces esta fórmula se deduce fácilmente del contexto en el que surge la variable aleatoria, mientras que en otras ocasiones no resulta tan claro. En este artículo, se busca dar un paso más en la comprensión de las distribuciones de probabilidad más conocidas, intentando profundizar en la motivación que las origina y en la deducción de su expresión, destacando además relaciones existentes entre algunas distribuciones. De esta manera, el trabajo contribuye a brindar elementos para discernir cuándo resulta razonable asumir cierta distribución para una variable aleatoria en consideración. Unión Matemática Argentina - Facultad de Matemática, Astronomía, Física y Computación 2021-07-30 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Artículo evaluado por pares application/pdf https://revistas.unc.edu.ar/index.php/REM/article/view/30460 10.33044/revem.30460 Revista de Educación Matemática; Vol. 36 Núm. 2 (2021); 7-43 1852-2890 0326-8780 spa https://revistas.unc.edu.ar/index.php/REM/article/view/30460/34704 Derechos de autor 2021 María Laura Nores https://creativecommons.org/licenses/by-sa/4.0/ |
| institution |
Universidad Nacional de Córdoba |
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I-10 |
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R-366 |
| container_title_str |
Revista de Educación Matemática |
| language |
Español |
| format |
Artículo revista |
| topic |
variable aleatoria discreta variable aleatoria continua densidad independencia discrete random variable continuous random variable density independence |
| spellingShingle |
variable aleatoria discreta variable aleatoria continua densidad independencia discrete random variable continuous random variable density independence Nores, María Laura A tour of probability distributions |
| topic_facet |
variable aleatoria discreta variable aleatoria continua densidad independencia discrete random variable continuous random variable density independence |
| author |
Nores, María Laura |
| author_facet |
Nores, María Laura |
| author_sort |
Nores, María Laura |
| title |
A tour of probability distributions |
| title_short |
A tour of probability distributions |
| title_full |
A tour of probability distributions |
| title_fullStr |
A tour of probability distributions |
| title_full_unstemmed |
A tour of probability distributions |
| title_sort |
tour of probability distributions |
| description |
Random variables have a probability distribution that under certain circumstances is given in terms of a known expression. Many times this formula is easily deduced from the context in which the random variable arises, while at other times it is not so clear. In this article, we seek to take a further step in understanding the most well-known probability distributions, trying to get deep into the motivation that gives them origin and in the deduction of their expression, also highlighting existing relationships between some distributions. In this way, the work contributes to provide elements to discern when it is reasonable to assume a certain distribution for a random variable under consideration. |
| publisher |
Unión Matemática Argentina - Facultad de Matemática, Astronomía, Física y Computación |
| publishDate |
2021 |
| url |
https://revistas.unc.edu.ar/index.php/REM/article/view/30460 |
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2024-09-03T22:36:46Z |
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2024-09-03T22:36:46Z |
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