The Inverse Least-Squares Model

  • Olivieri A
N/ACitations
Citations of this article
5Readers
Mendeley users who have this article in their library.
Get full text

Abstract

The first and simplest inverse least-squares calibration model, also called multiple linear regression, is discussed in detail. Advantages and disadvantages are discussed for a model which today is still in use for some applications. Proposals are given for developing advanced calibration models.

Cite

CITATION STYLE

APA

Olivieri, A. C. (2018). The Inverse Least-Squares Model. In Introduction to Multivariate Calibration (pp. 39–56). Springer International Publishing. https://doi.org/10.1007/978-3-319-97097-4_3

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free