quantile regression vs quitile regression

The correct phrase is 'quantile regression.' 'Quantile regression' is a statistical technique used to estimate the relationship between variables at different quantiles of the conditional distribution. 'Quitile regression' is not a standard term in statistics or data analysis.

Last updated: March 17, 2024

quantile regression

This phrase is correct and commonly used in statistics and data analysis.

Use 'quantile regression' when referring to a statistical technique that estimates the relationship between variables at different quantiles of the conditional distribution.

Show examples from the web [+]

Quantile regression is a type of regression analysis used in statistics and econometrics. Whereas the method of least squares results in estimates that ...
Abstract. Quantile regression as introduced in Koenker and Bassett 1978 may ... This essay provides a brief tutorial introduction to quantile regression methods,.
Quantile regression, as introduced by Koenker and Bassett (1978), may be viewed as an extension of classical least squares estimation of conditional mean.
QUANTILE REGRESSION IN R: A VIGNETTE. ROGER KOENKER. Abstract. Quantile regression is an evolving body of statistical methods for estimating and ...

quitile regression

This phrase is not correct in the context of statistics or data analysis.

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quantile regression vs quitile regression