An algorithm to fit the Gompertz function to growth curves

An algorithm to fit the Gompertz growth Junction is presented. This algorithm is easy to program on a microcomputer. The algorithm is based on employing a searching technique to solve a set of equations derived from the Gompertz function. Its application may prove valuable when access to a computer...

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Veröffentlicht in:	Bioinformatics 1992-06, Vol.8 (3), p.239-241
Hauptverfasser:	Pasternak, H., Shalev, B.A.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Animal Husbandry Animals Biological and medical sciences Cattle - growth & development Female Fundamental and applied biological sciences. Psychology General aspects Growth Male Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects) Poultry - growth & development Software
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Beschreibung
Zusammenfassung:	An algorithm to fit the Gompertz growth Junction is presented. This algorithm is easy to program on a microcomputer. The algorithm is based on employing a searching technique to solve a set of equations derived from the Gompertz function. Its application may prove valuable when access to a computer mainframe is difficult. Such a method may be useful in construction of a specific growth curve in biology, or as a managerial tool in livestock enterprise, as well as in the clinical treatment of tumors. Demonstration of the successful application of this algorithm in experimental livestock growth data are presented.
ISSN:	1367-4803 0266-7061 1460-2059
DOI:	10.1093/bioinformatics/8.3.239