Statistical formulations or analyses which, when applied to data and found to fit the data, are then used to verify the assumptions and parameters used in the analysis. Examples of statistical models are the linear model, binomial model, polynomial model, two-parameter model, etc
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Models Bioengineering : A comprehensive physically based approach to modeling in bioengineering and life sciences / Riccardo Sacco, Giovanna Guidoboni, Aurelio Giancarlo Mauri
Theoretical representations that simulate the behavior or activity of biological processes or diseases. For disease models in living animals, DISEASE MODELS, ANIMAL is available. Biological models include the use of mathematical equations, computers, and other electronic equipment
A computer architecture, implementable in either hardware or software, modeled after biological neural networks. Like the biological system in which the processing capability is a result of the interconnection strengths between arrays of nonlinear processing nodes, computerized neural networks, often called perceptrons or multilayer connectionist models, consist of neuron-like units. A homogeneous group of units makes up a layer. These networks are good at pattern recognition. They are adaptive, performing tasks by example, and thus are better for decision-making than are linear learning machines or cluster analysis. They do not require explicit programming
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Models Consumers' preferences : A brand-switching model with implications for marketing strategies / byRichard Colombo and Donald G. Morrison
Statistical models used in survival analysis that assert that the effect of the study factors on the hazard rate in the study population is multiplicative and does not change over time
Models Cruisers (Warships) Great Britain : British light cruisers : leander, anphion and arethusa classes / Les Brown ; colour illustrations by George Richardson