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Dominance, overdominance or epistasis based models are commonly used explanations.
From a genetics perspective, dominance, overdominance or epistasis based models are commonly used as explanations for heterosis [8].
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Because population based models are now more commonly used in simulation experiments to explore study designs, attention to the importance of identifying such terms has increased.
Revealedpreference and stated preference based models are the two most commonly usedapproaches.
The Markov process based model is the most commonly used mathematical model which can be solved analytically [1, 2].
Simulations based on putative genetic models are commonly used to investigate the efficiency of a QTL mapping method, where QTL detection power and false positive rate can both be properly estimated [33] [36].
Analytical models are commonly based on wave propagations and/or modal analysis, while the numerical ones are mainly based on the element-solutions, such as the standard FEM and/or BEM.
Although detailed numerical models are commonly used, simplified models based on spring-mass idealisations, such as Biggs' method, are still important for preliminary design.
Predictive models are commonly assessed using c-statistics.
Transgenic mouse models are commonly used in AD research.
Shallow-water type models are commonly used in tsunami simulations.
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