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Fitting physiological models to data
American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, 1984Methods of fitting models to experimental data obtained from biological systems are reviewed. The Michaelis-Menten model is used as the working example of a familiar and well-studied biological model. Criteria for selecting models include goodness of fit, freedom from systematic errors, and simplicity.
D, Garfinkel, K A, Fegley
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Fitting prices with a complete model
Journal of Banking & Finance, 2006Abstract The aim of this paper is to introduce some methodologies for parameter estimation in Hobson and Rogers stochastic volatility model (1998). We pay a specific attention to the so-called feedback parameter, which is shown to be crucial for the model to fit correctly the smile curve of implied volatility and we introduce different procedures for
G. Figà Talamanca +1 more
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A predictive fitness model for influenza
Nature, 2014The seasonal human influenza A/H3N2 virus undergoes rapid evolution, which produces significant year-to-year sequence turnover in the population of circulating strains. Adaptive mutations respond to human immune challenge and occur primarily in antigenic epitopes, the antibody-binding domains of the viral surface protein haemagglutinin. Here we develop
Marta, Luksza, Michael, Lässig
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Fitting semiparametric cure models
Computational Statistics & Data Analysis, 2003zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Evaluating SEM Model Fit with Small Degrees of Freedom
Multivariate Behavioral Research, 2022Alberto Maydeu-Olivares +2 more
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Sensitivity of Bayesian Model Fit Indices to the Prior Specification of Latent Growth Models
Structural Equation Modeling, 2022Sarah Depaoli, Sonja D Winter
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Impact of Informative Priors on Model Fit Indices in Bayesian Confirmatory Factor Analysis
Structural Equation Modeling, 2023Kelly D Edwards, Timothy Konold
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A tailored-fit model evaluation strategy for better decisions about structural equation models
Technological Forecasting and Social Change, 2021Thomas Niemand +2 more
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