modellierbar

Modellierbar is a German adjective meaning capable of being modeled. It is used in science, engineering, statistics and related fields to describe systems, problems or data sets for which a mathematical or computational representation can be constructed. The word is formed from modellieren (to model) and the suffix -bar, indicating ability or feasibility.

In scientific contexts, modellierbar refers to the existence of a useful model that captures essential features of a phenomenon. This can include parametric models with a finite set of parameters, as well as more flexible nonparametric or computational approaches. Whether a problem is modellierbar often depends on the level of abstraction, the quality and quantity of data, and the identifiability of model parameters.

Limitations accompany modellierbarkeit. A system may be technically modellierbar but still yield models with limited predictive power due to noise, unobserved variables, or structural changes over time. Conversely, some complex or stochastic processes may resist precise modelling, yet useful surrogate models or empirical approximations can still provide practical insight. The term is thus context-sensitive and may reflect a modeling choice rather than an absolute capability.

Typical domains where modellierbar is applied include economics (demand and supply models), biology (growth and interaction models), physics (differential-equation-based systems), and computer science (simulation and data-driven models). In all cases, developers assess modellierbarkeit by considering assumptions, data availability, and the intended use of the model.