Compara mètodes

	Inferència de randomització exacta de Fisher	Regressió quantílica (variants no paramètriques)
Camp	Estadística	Estadística
Família	Regression model	Regression model
Any d'origen	1935	1978
Autor original	Ronald A. Fisher	Koenker & Bassett
Tipus	Exact permutation-based inference	Quantile regression (nonparametric variants)
Font seminal	Fisher, R. A. (1935). The Design of Experiments. Oliver & Boyd.	Koenker, R. & Bassett, G. (1978). Regression Quantiles. Econometrica, 46(1), 33-50.
Àlies	fisher randomization test, permutation inference, exact randomization test, randomizasyon çıkarımı (fisher exact randomization)	quantile regression, median regression, distribution-free quantile regression, Kantil Regresyon (Nonparametric Varyantlar)
Relacionats	5	5
Resum	Randomization inference, introduced by Ronald A. Fisher in The Design of Experiments (1935), computes an exact p-value by evaluating a test statistic across all possible treatment assignments under Fisher's sharp null hypothesis. It is regarded as the gold standard for analysing designed experiments because its validity rests on the known assignment mechanism rather than on distributional assumptions.	Quantile regression, introduced by Koenker and Bassett in 1978, models a chosen conditional quantile (such as the median or the 25th and 75th percentiles) of a continuous outcome rather than its mean. Its nonparametric variants fit these quantile relationships without assuming a distribution for the errors, making them a robust complement to mean-based regression on skewed data.