A Richards growth model to predict fruit weight

DOI10.1111/ANZS.12380zbMath1521.62203OpenAlexW4313506671MaRDI QIDQ6075173

Elena Moltchanova, Daniel Gerhard

Publication date: 20 October 2023

Published in: Australian & New Zealand Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/anzs.12380

zbMATH Keywords

model selectionMarkov chain Monte Carlogrowth modelyield prediction

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

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• Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC
• Using stacking to average Bayesian predictive distributions (with discussion)
• A unified approach to the Richards-model family for use in growth analyses: why we need only two model forms
• Model Selection and Model Averaging
• Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
• Equation of State Calculations by Fast Computing Machines
• Monte Carlo sampling methods using Markov chains and their applications

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