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Bootstrap accuracy for non‐linear regression models
Author(s) -
Roy Tapon
Publication year - 1994
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.1180080105
Subject(s) - linear regression , mathematics , confidence interval , regression , statistics , regression analysis , linear model , chemistry
Non‐linear regression models describing the toxicity of a mixture of rotenone and pyrethrins as an insecticide, the catalytic dehydration of n ‐hexyl alcohol and the Michaelis–Menten model for characterizing reaction rates in enzyme systems will be used to illustrate the accuracy of bootstrap methods in non‐linear regression. Classical and bootstrap confidence intervals for the parameter estimates will be presented.