A novel unification method to characterize a broad class of growth curve models using relative growth rate
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Publication:2002123
DOI10.1007/s11538-019-00617-wzbMath1417.92022OpenAlexW2953720567WikidataQ92597940 ScholiaQ92597940MaRDI QIDQ2002123
Sabyasachi Bhattacharya, Joydev Chattopadhyay, Biman Chakraborty, Amiya Ranjan Bhowmick
Publication date: 11 July 2019
Published in: Bulletin of Mathematical Biology (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11538-019-00617-w
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Cites Work
- Unnamed Item
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- Estimating reducible stochastic differential equations by conversion to a least-squares problem
- Analysis of a growth model inspired by Gompertz and Korf laws, and an analogous birth-death process
- A theory of growth
- Generalized two-parameter equation of growth
- Analysis of logistic growth models
- Evolution of model specific relative growth rate: its genesis and performance over Fisher's growth rates
- How to resolve the SLOSS debate: lessons from species-diversity models
- A unified approach to the Richards-model family for use in growth analyses: why we need only two model forms
- A new growth curve model for biological growth: some inferential studies on the growth of \textit{Cirrhinus mrigala}
- On comparison of relative growth rates under different environmental conditions with application to biological data
- Bayesian Analysis of Growth Curves Using Mixed Models Defined by Stochastic Differential Equations
- A Stochastic Differential Equation Model for the Height Growth of Forest Stands
- Goodness-of-Fit Testing for Exponential Polynomial Growth Curves
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