non-parametric distribution
[/nɒn pærəˈmɛtrɪk dɪstrɪˈbjuːʃən/]
nounfemininepl: non-parametric distributions / distribuições não-paramétricas
distribuição não-paramétrica
1. A probability distribution that does not rely on assumptions about specific parameters or functional form; characterized by making minimal assumptions about the underlying population
The Kolmogorov-Smirnov test uses non-parametric distribution assumptions to compare two samples without assuming normality.
O teste de Kolmogorov-Smirnov usa suposições de distribuição não-paramétrica para comparar duas amostras sem assumir normalidade.
2. In statistics, a distribution-free approach that does not presume the data follows a particular parametric form such as normal, exponential, or Poisson
Non-parametric distribution methods are particularly useful when dealing with skewed or non-normal data.
Métodos de distribuição não-paramétrica são particularmente úteis ao lidar com dados assimétricos ou não-normais.
This term is primarily used in academic and professional contexts within statistics, data science, and research. In Brazil, it is commonly taught in graduate-level statistics courses and is increasingly used in data science and machine learning applications. The term reflects the growing adoption of non-parametric methods in modern statistics, particularly in fields where traditional parametric assumptions may not hold.
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