Empirical significance test of the goodness-of-fit for some pyramidal clustering procedures.

Capdevila Marquès, Carles, and Arcas Pons, Antoni. "Empirical significance test of the goodness-of-fit for some pyramidal clustering procedures.." Qüestiió 19.1-2-3 (1995): 123-130. <http://eudml.org/doc/40234>.

@article{CapdevilaMarquès1995,
abstract = {Through a series of simulation tests by Monte Carlo methods, some aspects relating to the inference concerning pyramidal trees built by the maximum and minimum methods are considered. In this sense, the quantiles of the γ-Goodman-Kruskal statistic allow us to tabulate a significance test of the goodness-of-fit of a pyramidal clustering procedure. On the other side, the pyramidal method of maximum is observed to be clearly better (more efficient) than that of the minimum in terms of the expected value for the gamma statistic. Both for the maximum and minimum methods, a relation between the number of objets to classify and the gamma distribution id observed.},
author = {Capdevila Marquès, Carles, Arcas Pons, Antoni},
journal = {Qüestiió},
keywords = {Test de bondad de ajuste; Análisis cluster; Algoritmos de clasificación; Arboles de regresión; Simulación de Montecarlo; goodness-of-fit; pyramidal clustering; sample distribution of the -statistic; simulation test},
language = {eng},
number = {1-2-3},
pages = {123-130},
title = {Empirical significance test of the goodness-of-fit for some pyramidal clustering procedures.},
url = {http://eudml.org/doc/40234},
volume = {19},
year = {1995},
}

TY - JOUR
AU - Capdevila Marquès, Carles
AU - Arcas Pons, Antoni
TI - Empirical significance test of the goodness-of-fit for some pyramidal clustering procedures.
JO - Qüestiió
PY - 1995
VL - 19
IS - 1-2-3
SP - 123
EP - 130
AB - Through a series of simulation tests by Monte Carlo methods, some aspects relating to the inference concerning pyramidal trees built by the maximum and minimum methods are considered. In this sense, the quantiles of the γ-Goodman-Kruskal statistic allow us to tabulate a significance test of the goodness-of-fit of a pyramidal clustering procedure. On the other side, the pyramidal method of maximum is observed to be clearly better (more efficient) than that of the minimum in terms of the expected value for the gamma statistic. Both for the maximum and minimum methods, a relation between the number of objets to classify and the gamma distribution id observed.
LA - eng
KW - Test de bondad de ajuste; Análisis cluster; Algoritmos de clasificación; Arboles de regresión; Simulación de Montecarlo; goodness-of-fit; pyramidal clustering; sample distribution of the -statistic; simulation test
UR - http://eudml.org/doc/40234
ER -