This article does not cite any sources. Please help improve this article by adding citations to reliable sources. Unsourced material may be challenged and removed. Find sources: "Continuous modelling" – news · newspapers · books · scholar · JSTOR(November 2008) (Learn how and when to remove this message)
Continuous modelling is the mathematical practice of applying a model to continuous data (data which has a potentially infinite number, and divisibility, of attributes). They often use differential equations and are converse to discrete modelling.
Modelling is generally broken down into several steps:
Making assumptions about the data: The modeller decides what is influencing the data and what can be safely ignored.
Making equations to fit the assumptions.
Solving the equations.
Verifying the results: Various statistical tests are applied to the data and the model and compared.
If the model passes the verification progress, putting it into practice.
If the model fails the verification progress, altering it and subjecting it again to verification; if it persists in fitting the data more poorly than a competing model, it is abandoned.
and 24 Related for: Continuous modelling information
Continuousmodelling is the mathematical practice of applying a model to continuous data (data which has a potentially infinite number, and divisibility...
time and continuous time Continuous-time stochastic process Discrete-time stochastic process Continuousmodelling Discrete modellingContinuous geometry...
Scientific modelling is an activity that produces models representing empirical objects, phenomena, and physical processes, to make a particular part...
In applied mathematics, discrete modelling is the discrete analogue of continuousmodelling. In discrete modelling, discrete formulae are fit to data...
Discrete modelling is the discrete analogue of continuousmodelling. In discrete modelling, formulae are fit to discrete data—data that could potentially...
The continuous spontaneous localization (CSL) model is a spontaneous collapse model in quantum mechanics, proposed in 1989 by Philip Pearle. and finalized...
of the classical Black–Scholes–Merton equation from the perspective of continuous equations like the Schrödinger equation. Emmanuel Haven builds on the...
Continuous Simulation refers to simulation approaches where a system is modeled with the help of variables that change continuously according to a set...
applied mathematics, discretization is the process of transferring continuous functions, models, variables, and equations into discrete counterparts. This process...
Continuous integration (CI) is the practice of frequently building and testing a software system during its development. It is intended to ensure that...
dynamics, discrete time and continuous time are two alternative frameworks within which variables that evolve over time are modeled. Discrete time views values...
distributions can be defined in different ways and for discrete or for continuous variables. Distributions with special properties or for especially important...
Continuous track or tracked treads are a system of vehicle propulsion used in tracked vehicles, running on a continuous band of treads or track plates...
Mathematical modelling of intracellular dynamics Mathematical modelling of the cell cycle Mathematical modelling of apoptosis Modelling physiological...
are required to perform molecular modelling of any reasonably sized system. The common feature of molecular modelling methods is the atomistic level description...
Lie group and group action. For most practical purposes, continuous symmetry is modelled by a group action of a topological group that preserves some...
Continuous delivery (CD) is a software engineering approach in which teams produce software in short cycles, ensuring that the software can be reliably...
of a jump process Kolmogorov equations (continuous-time Markov chains) Tankov, P. (2003). Financial modelling with jump processes (Vol. 2). CRC press...
In probability theory and statistics, the continuous uniform distributions or rectangular distributions are a family of symmetric probability distributions...
latent variable models can be grouped according to whether the manifest and latent variables are categorical or continuous: The Rasch model represents the...
the deformation of and transmission of forces through materials modeled as a continuous medium (also called a continuum) rather than as discrete particles...
Uplift modelling, also known as incremental modelling, true lift modelling, or net modelling is a predictive modelling technique that directly models the...
A continuous automaton can be described as a cellular automaton extended so the valid states a cell can take are not just discrete (for example, the states...