Bootstrap methods have gained wide acceptance and huge popularity in the fi
eld of applied statistics. The bootstrap is able to provide accurate answer
s in cases where other methods are simply not available, or where the usual
approximations are invalid. The number of applications in chemistry, howev
er, has been rather limited. One possible cause for this is the overwhelmin
g number of techniques available. This tutorial aims to introduce the basic
concepts of bootstrap methods, provide some guidance as to what bootstrap
methods are appropriate in different situations, and illustrate several pot
ential application areas in chemometrics by worked examples. (C) 2000 Elsev
ier Science B.V. All rights reserved.