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Dependence between fusion temperatures and chemical components of a certain type of coal using classical, non‐parametric and bootstrap techniques
Author(s) -
GonzálezManteiga W.,
PradaSánchez J. M.,
FiestrasJaneiro M. G.,
GarcíaJurado I.
Publication year - 1990
Publication title -
journal of chemometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.47
H-Index - 92
eISSN - 1099-128X
pISSN - 0886-9383
DOI - 10.1002/cem.1180040606
Subject(s) - parametric statistics , principal component analysis , inference , stepwise regression , regression , fusion , mathematics , regression analysis , canonical correlation , coal , statistics , artificial intelligence , computer science , chemistry , linguistics , philosophy , organic chemistry
Abstract A statistical study of the dependence between various critical fusion temperatures of a certain kind of coal and its chemical components is carried out. As well as using classical dependence techniques (multiple, stepwise and PLS regression, principal components, canonical correlation, etc.) together with the corresponding inference on the parameters of interest, non‐parametric regression and bootstrap inference are also performed.