Fitting the Hill Equation to Data: A Statistical Approach

N. J.D. Nagelkerke; J. Strackee

doi:10.1109/TBME.1982.324976

Fitting the Hill Equation to Data: A Statistical Approach

N. J.D. Nagelkerke, J. Strackee

Research output: Contribution to journal › Article › peer-review

3 Citations (Scopus)

Abstract

A procedure is presented for fitting the hyperbolic Hill equation to data. The procedure is a maximum likelihood method applied to a statistical specification of the problem which allows for measurement errors in two dimensions. The procedure is found to give an excellent fit. Problems encountered with the estimation of parameters when the estimates are highly correlated due to improper spacing of the observations are discussed.

Original language	English
Pages (from-to)	467-469
Number of pages	3
Journal	IEEE Transactions on Biomedical Engineering
Volume	BME-29
Issue number	6
DOIs	https://doi.org/10.1109/TBME.1982.324976
Publication status	Published - Jun 1982
Externally published	Yes

ASJC Scopus subject areas

Biomedical Engineering

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10.1109/TBME.1982.324976

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abstract = "A procedure is presented for fitting the hyperbolic Hill equation to data. The procedure is a maximum likelihood method applied to a statistical specification of the problem which allows for measurement errors in two dimensions. The procedure is found to give an excellent fit. Problems encountered with the estimation of parameters when the estimates are highly correlated due to improper spacing of the observations are discussed.",

author = "Nagelkerke, {N. J.D.} and J. Strackee",

year = "1982",

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AB - A procedure is presented for fitting the hyperbolic Hill equation to data. The procedure is a maximum likelihood method applied to a statistical specification of the problem which allows for measurement errors in two dimensions. The procedure is found to give an excellent fit. Problems encountered with the estimation of parameters when the estimates are highly correlated due to improper spacing of the observations are discussed.

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Fitting the Hill Equation to Data: A Statistical Approach

Abstract

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