Determination of time distribution using nonparametric statistics

This is a very important concept within the methods for determining the type of distribution since we are talking about one of the most important and most common distributions, since many statistical analyses assume that the data come from normally distributed populations.Importance of the Normal Distribution J. Lejarza & I. Lejarza (2007) tell us that:"On the one hand, a large number of real phenomena can be modeled with this distribution (such is the case of the quantitative characteristics of almost all large populations).On the other hand, many of the frequently used distributions tend to approximate the normal distribution under certain conditions; and, finally, by virtue of the Central Limit Theorem, all those variables that can be considered to be caused by a large number of small effects (such as may be observation errors) tend to be distributed with a normal distribution."As we mentioned before, the Normal distribution is the most common distribution and therefore it is also the most important and the one we encounter most in everyday life.

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Publication Details

Journal
Journal of Engineering Research
Published
2024-09-19
DOI
https://doi.org/10.22533/at.ed.3174232418099
Primary Topic
Scientific Measurement and Uncertainty Evaluation
Type
article
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article

Determination of time distribution using nonparametric statistics

Rita Luna Gándara, Maríana Elizabeth Carreon Quiñonez, Johana Anahí Cuevas Duarte, Leticia del Pilar de la Torre González et al.
Journal of Engineering Research
Scientific Measurement and Uncertainty Evaluation
article

Determination of time distribution using nonparametric statistics

Rita Luna Gándara, Maríana Elizabeth Carreon Quiñonez, Johana Anahí Cuevas Duarte, Leticia del Pilar de la Torre González, Francisco Alfredo Marrufo Carmona
article en

Abstract

This is a very important concept within the methods for determining the type of distribution since we are talking about one of the most important and most common distributions, since many statistical analyses assume that the data come from normally distributed populations.Importance of the Normal Distribution J. Lejarza & I. Lejarza (2007) tell us that:"On the one hand, a large number of real phenomena can be modeled with this distribution (such is the case of the quantitative characteristics of almost all large populations).On the other hand, many of the frequently used distributions tend to approximate the normal distribution under certain conditions; and, finally, by virtue of the Central Limit Theorem, all those variables that can be considered to be caused by a large number of small effects (such as may be observation errors) tend to be distributed with a normal distribution."As we mentioned before, the Normal distribution is the most common distribution and therefore it is also the most important and the one we encounter most in everyday life.

Journal of Engineering ResearchVol. 4(23)
Openalex Percentile: Top 83%
Scientific Measurement and Uncertainty Evaluation
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