Document details for 'Flexible quantile regression models: applications to the study of the sea urchin, Paracentrotus lividus (Lamarck, 1816)'

Authors Martinez-Silva, I., Roca-Pardinas, J., Lustres-Perez, V., Lorenzo-Arribas, A. and Cadarso-Suarez, C.
Publication details Statistics and Operations Research Transactions 37(1), 81-94.
Keywords Boosting, quantile regression, reference curves, smoothness.
Abstract In many applications, it is often of interest to assess the possible relationships between covariates and quantiles of a response variable through a regression model. In some instances, the effects of continuous covariates on the outcome are highly nonlinear. Consequently, appropriate modeling has to take such flexible smooth effects into account. In this work, various flexible quantile regression techniques were reviewed and compared by simulation. Finally, all the techniques were used to construct the overall zone specific reference curves of morphologic measures of sea urchin Paracentrotus lividus (Lamarck, 1816) located in NW Spain.
Last updated 2014-03-18

Unless explicitly stated otherwise, all material is copyright © Biomathematics and Statistics Scotland.

Biomathematics and Statistics Scotland (BioSS) is formally part of The James Hutton Institute (JHI), a registered Scottish charity No. SC041796 and a company limited by guarantee No. SC374831. Registered Office: JHI, Invergowrie, Dundee, DD2 5DA, Scotland