University of Hertfordshire

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Fitting equations to data with the perfect correlation relationship. / Tofallis, C.

University of Hertfordshire, 2015. (Hertfordshire Business School Working Paper).

Research output: Working paper

Harvard

Tofallis, C 2015 'Fitting equations to data with the perfect correlation relationship' Hertfordshire Business School Working Paper, University of Hertfordshire.

APA

Tofallis, C. (2015). Fitting equations to data with the perfect correlation relationship. (Hertfordshire Business School Working Paper). University of Hertfordshire.

Vancouver

Tofallis C. Fitting equations to data with the perfect correlation relationship. University of Hertfordshire. 2015 Dec 23. (Hertfordshire Business School Working Paper).

Author

Tofallis, C. / Fitting equations to data with the perfect correlation relationship. University of Hertfordshire, 2015. (Hertfordshire Business School Working Paper).

Bibtex

@techreport{02f289c14ed84a838ece289ee5e704a8,
title = "Fitting equations to data with the perfect correlation relationship",
abstract = "We present a simple method for estimating a single relationship between multiple variables, which are all treated symmetrically i.e. there is no distinction between dependent and independent variables. This is of interest when estimating a law from observations in the natural sciences, although workers in the social sciences may also find this of interest when fitting relationships to data. All variables are assumed to have error but no information about the error is assumed. Unlike other symmetric methods, the weights or coefficients can be obtained easily – indeed, these can be expressed in terms of least squares coefficients. The approach has the important properties of providing a functional relationship which is scale invariant and unique",
author = "C. Tofallis",
note = "Copyright and all rights therein are retained by the authors. All persons copying this information are expected to adhere to the terms and conditions invoked by each author's copyright. These works may not be re-posted without the explicit permission of the copyright holders",
year = "2015",
month = "12",
day = "23",
language = "English",
series = "Hertfordshire Business School Working Paper",
publisher = "University of Hertfordshire",
type = "WorkingPaper",
institution = "University of Hertfordshire",

}

RIS

TY - UNPB

T1 - Fitting equations to data with the perfect correlation relationship

AU - Tofallis, C.

N1 - Copyright and all rights therein are retained by the authors. All persons copying this information are expected to adhere to the terms and conditions invoked by each author's copyright. These works may not be re-posted without the explicit permission of the copyright holders

PY - 2015/12/23

Y1 - 2015/12/23

N2 - We present a simple method for estimating a single relationship between multiple variables, which are all treated symmetrically i.e. there is no distinction between dependent and independent variables. This is of interest when estimating a law from observations in the natural sciences, although workers in the social sciences may also find this of interest when fitting relationships to data. All variables are assumed to have error but no information about the error is assumed. Unlike other symmetric methods, the weights or coefficients can be obtained easily – indeed, these can be expressed in terms of least squares coefficients. The approach has the important properties of providing a functional relationship which is scale invariant and unique

AB - We present a simple method for estimating a single relationship between multiple variables, which are all treated symmetrically i.e. there is no distinction between dependent and independent variables. This is of interest when estimating a law from observations in the natural sciences, although workers in the social sciences may also find this of interest when fitting relationships to data. All variables are assumed to have error but no information about the error is assumed. Unlike other symmetric methods, the weights or coefficients can be obtained easily – indeed, these can be expressed in terms of least squares coefficients. The approach has the important properties of providing a functional relationship which is scale invariant and unique

M3 - Working paper

T3 - Hertfordshire Business School Working Paper

BT - Fitting equations to data with the perfect correlation relationship

PB - University of Hertfordshire

ER -