Statnote 20: non-linear regression: fitting a general polynomial curve

Anthony Hilton, Richard A. Armstrong

Research output: Contribution to specialist publicationArticle

Abstract

In some circumstances, there may be no scientific model of the relationship between X and Y that can be specified in advance and indeed the objective of the investigation may be to provide a ‘curve of best fit’ for predictive purposes. In such an example, the fitting of successive polynomials may be the best approach. There are various strategies to decide on the polynomial of best fit depending on the objectives of the investigation.
Original languageEnglish
Pages40-42
Number of pages3
Volume2010
Specialist publicationMicrobiologist
Publication statusPublished - Mar 2010

Fingerprint

Nonlinear Regression
Curve
Polynomial
Model
Strategy
Relationships

Cite this

@misc{9ec1571eb1fa41ceb24d00d14e9e678f,
title = "Statnote 20: non-linear regression: fitting a general polynomial curve",
abstract = "In some circumstances, there may be no scientific model of the relationship between X and Y that can be specified in advance and indeed the objective of the investigation may be to provide a ‘curve of best fit’ for predictive purposes. In such an example, the fitting of successive polynomials may be the best approach. There are various strategies to decide on the polynomial of best fit depending on the objectives of the investigation.",
author = "Anthony Hilton and Armstrong, {Richard A.}",
year = "2010",
month = "3",
language = "English",
volume = "2010",
pages = "40--42",
journal = "Microbiologist",
issn = "1479-2699",

}

Statnote 20: non-linear regression: fitting a general polynomial curve. / Hilton, Anthony; Armstrong, Richard A.

In: Microbiologist, Vol. 2010, 03.2010, p. 40-42.

Research output: Contribution to specialist publicationArticle

TY - GEN

T1 - Statnote 20: non-linear regression: fitting a general polynomial curve

AU - Hilton, Anthony

AU - Armstrong, Richard A.

PY - 2010/3

Y1 - 2010/3

N2 - In some circumstances, there may be no scientific model of the relationship between X and Y that can be specified in advance and indeed the objective of the investigation may be to provide a ‘curve of best fit’ for predictive purposes. In such an example, the fitting of successive polynomials may be the best approach. There are various strategies to decide on the polynomial of best fit depending on the objectives of the investigation.

AB - In some circumstances, there may be no scientific model of the relationship between X and Y that can be specified in advance and indeed the objective of the investigation may be to provide a ‘curve of best fit’ for predictive purposes. In such an example, the fitting of successive polynomials may be the best approach. There are various strategies to decide on the polynomial of best fit depending on the objectives of the investigation.

UR - http://issuu.com/societyforappliedmicrobiology/docs/march2010_micro_final

M3 - Article

VL - 2010

SP - 40

EP - 42

JO - Microbiologist

JF - Microbiologist

SN - 1479-2699

ER -