Quantile plots in the analysis of heteroscedastic models.

Pepió Viñals, Montserrat, and Polo Miranda, Carlos. "Quantile plots in the analysis of heteroscedastic models.." Qüestiió 16.1-2-3 (1992): 135-145. <http://eudml.org/doc/40112>.

@article{PepióViñals1992,
abstract = {Recent developments in quality engineering methods have led to considerable interest in the analysis of variance, buiding a dispersion model, identifying important effects from replicated experiments and checking for significance by means of a half-normal plot. A methodology based on a chi-squared quantile plot is presented here for checking first the presence of heteroscedasticity, outliers and other data peculiarities, and after the estimation stage a new stepwise procedure tests for significant effects.},
author = {Pepió Viñals, Montserrat, Polo Miranda, Carlos},
journal = {Qüestiió},
keywords = {Métodos gráficos; Análisis de la varianza; Dispersión estadística; Distribución Chi-cuadrado; Procesos industriales; Ingeniería de procesos; Heteroscedasticidad; chi-squared plot; dispersion model; stepwise test},
language = {eng},
number = {1-2-3},
pages = {135-145},
title = {Quantile plots in the analysis of heteroscedastic models.},
url = {http://eudml.org/doc/40112},
volume = {16},
year = {1992},
}

TY - JOUR
AU - Pepió Viñals, Montserrat
AU - Polo Miranda, Carlos
TI - Quantile plots in the analysis of heteroscedastic models.
JO - Qüestiió
PY - 1992
VL - 16
IS - 1-2-3
SP - 135
EP - 145
AB - Recent developments in quality engineering methods have led to considerable interest in the analysis of variance, buiding a dispersion model, identifying important effects from replicated experiments and checking for significance by means of a half-normal plot. A methodology based on a chi-squared quantile plot is presented here for checking first the presence of heteroscedasticity, outliers and other data peculiarities, and after the estimation stage a new stepwise procedure tests for significant effects.
LA - eng
KW - Métodos gráficos; Análisis de la varianza; Dispersión estadística; Distribución Chi-cuadrado; Procesos industriales; Ingeniería de procesos; Heteroscedasticidad; chi-squared plot; dispersion model; stepwise test
UR - http://eudml.org/doc/40112
ER -