Regression

Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

Standard

Regression. / Westad, Frank; Bevilacqua, Marta; Marini, Federico.

Chemometrics in Food Chemistry. ed. / Federico Marini. Elsevier, 2013. p. 127 - 170 (Data Handling in Science and Technology, Vol. 28).

Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

Harvard

Westad, F, Bevilacqua, M & Marini, F 2013, Regression. in F Marini (ed.), Chemometrics in Food Chemistry. Elsevier, Data Handling in Science and Technology, vol. 28, pp. 127 - 170. https://doi.org/10.1016/B978-0-444-59528-7.00004-1

APA

Westad, F., Bevilacqua, M., & Marini, F. (2013). Regression. In F. Marini (Ed.), Chemometrics in Food Chemistry (pp. 127 - 170). Elsevier. Data Handling in Science and Technology Vol. 28 https://doi.org/10.1016/B978-0-444-59528-7.00004-1

Vancouver

Westad F, Bevilacqua M, Marini F. Regression. In Marini F, editor, Chemometrics in Food Chemistry. Elsevier. 2013. p. 127 - 170. (Data Handling in Science and Technology, Vol. 28). https://doi.org/10.1016/B978-0-444-59528-7.00004-1

Author

Westad, Frank ; Bevilacqua, Marta ; Marini, Federico. / Regression. Chemometrics in Food Chemistry. editor / Federico Marini. Elsevier, 2013. pp. 127 - 170 (Data Handling in Science and Technology, Vol. 28).

Bibtex

@inbook{898b2d9a126247dfbb05158a6d5dc3eb,
title = "Regression",
abstract = "In this chapter, a survey of the theory behind the main chemometric methods used for multivariate calibration is presented. Ordinary least squares, multiple linear regression, principal component regression, partial least squares regression and principal covariate regression are discussed in detail. Tools for model diagnostics and model interpretation are presented, together with strategies for variable selection.",
keywords = "Calibration, Regression, Validation, Model diagnostics, Latent variables, Prediction error, Variable selection",
author = "Frank Westad and Marta Bevilacqua and Federico Marini",
year = "2013",
doi = "10.1016/B978-0-444-59528-7.00004-1",
language = "English",
isbn = "978-0-444-59528-7",
series = "Data Handling in Science and Technology",
publisher = "Elsevier",
pages = "127 -- 170",
editor = "Federico Marini",
booktitle = "Chemometrics in Food Chemistry",
address = "Netherlands",

}

RIS

TY - CHAP

T1 - Regression

AU - Westad, Frank

AU - Bevilacqua, Marta

AU - Marini, Federico

PY - 2013

Y1 - 2013

N2 - In this chapter, a survey of the theory behind the main chemometric methods used for multivariate calibration is presented. Ordinary least squares, multiple linear regression, principal component regression, partial least squares regression and principal covariate regression are discussed in detail. Tools for model diagnostics and model interpretation are presented, together with strategies for variable selection.

AB - In this chapter, a survey of the theory behind the main chemometric methods used for multivariate calibration is presented. Ordinary least squares, multiple linear regression, principal component regression, partial least squares regression and principal covariate regression are discussed in detail. Tools for model diagnostics and model interpretation are presented, together with strategies for variable selection.

KW - Calibration

KW - Regression

KW - Validation

KW - Model diagnostics

KW - Latent variables

KW - Prediction error

KW - Variable selection

U2 - 10.1016/B978-0-444-59528-7.00004-1

DO - 10.1016/B978-0-444-59528-7.00004-1

M3 - Book chapter

SN - 978-0-444-59528-7

T3 - Data Handling in Science and Technology

SP - 127

EP - 170

BT - Chemometrics in Food Chemistry

A2 - Marini, Federico

PB - Elsevier

ER -

ID: 228373627