SENSIBILITY ANALYSIS OF THE HALF-SLOPE RATIO IN NON-LINEAR MONOTONE INCREASING BIVARIATE RELATIONSHIPS

Authors

  • Joan Guàrdia i Olmos
  • Jaume Turbany Oset
  • Montserrat Freixa i Blanxart
Keywords: resistant line, half-slope ratio, exploratory data analysis

Abstract

In the last time, the use of the statistical procedures belonging to the tradition of the Exploratory Data Analysis (EDA) (Tukey, 1977) has promoted a deep interest for the data exploration as a suitable vehicle in order to assure the prospective results. However, some of the proposed indices by EDA, are not been evaluated concerning their statistical sensibility. Our goal is to analyze one of the EDA most suggestive indices, the Half-Slope Ratio method, introduced into the use of the resistant line (Velleman y Hoaglin, 1981). It is used in order to ascertain the possible lineality of the bivariant plot. Through the generation of several non-linear functions, it may be shown first that de Half-Slope Ratio has a very severe behaviour and second, that tendency is more lax in the linear regression model.

Downloads

Download data is not yet available.

Author Biographies

Joan Guàrdia i Olmos

Universidad de Barcelona

Jaume Turbany Oset

Universidad de Barcelona

Montserrat Freixa i Blanxart

Universidad de Barcelona
How to Cite
Guàrdia i Olmos, J., Turbany Oset, J., & Freixa i Blanxart, M. SENSIBILITY ANALYSIS OF THE HALF-SLOPE RATIO IN NON-LINEAR MONOTONE INCREASING BIVARIATE RELATIONSHIPS. Anales de Psicología / Annals of Psychology, 10(1), 93–99. Retrieved from https://revistas.um.es/analesps/article/view/29511
Issue
Vol. 10 No. 1 (1994)
Section
Methodology

 

The works published in this journal are subject to the following terms:
1. The Publications Service of the University of Murcia (the publisher) retains the property rights (copyright) of published works, and encourages and enables the reuse of the same under the license specified in paragraph 2.

© Servicio de Publicaciones, Universidad de Murcia, 2022

2. The works are published in the online edition of the journal under a Creative Commons Reconocimiento-CompartirIgual 4.0 (legal text). You can copy, use, distribute, transmit and publicly display, provided that: i) you cite the author and the original source of publication (journal, editorial and URL of the work), ii) are not used for commercial purposes, iii ) mentions the existence and specifications of this license.


This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

3. Conditions of self-archiving. Is allowed and encouraged the authors to disseminate electronically pre-print versions (version before being evaluated and sent to the journal) and / or post-print (version reviewed and accepted for publication) of their works before publication, as it encourages its earliest circulation and diffusion and thus a possible increase in its citation and scope between the academic community. RoMEO Color: Green.