… and practice of multivariate calibration has now … multivariate calibration. We have chosen
to cover what we consider to be of most importance for practical use of multivariate calibration …

The bases of multivariate calibration are presented with special attention to some points
usually not considered or underevaluated, ie, the sampling design, the number of samples …

… Multivariate calibration models are usually based on data from a large number of training …
There are, however, a number of situations in which a multivariate calibration model may …

… Multivariate calibration is a very useful tool for extracting chemical information from … A
practical limitation to multivariate calibration occurs when an existing model is applied to spectra …

A set of q responses Y = (Y 1 ,…, Y q ) T are determined by a set of p explanatory variables x
= (X 1 ,…, X p ) T . A set of l observed vectors Y are available at a single unknown x and it is …

… researchers to develop and use multivariate calibration methods. Multivariate calibration
In the agricultural and foodindustries multivariate calibration methods are used with spectral …

… of multivariate analyses known as multivariate calibration. Our goal is to give the chemist
insight into the workings of a collection of statistical techniques andto enable him or her to …

… For the individual seeking to learn about multivariate calibration, this book has several
features that will undoubtedly enhance the experience. First, there are many case studies …

… In the framework of multivariate calibration, we will consider NNs in a more pragmatic way
and in a first approximation define them as non-parametric non-linear regression estimators.…

… We believe multivariate calibration is a very general technique with a wide potential in … NIR
reflectance (9), we have used multivariate calibration for determination of fat content in living …