stochastic model


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Related to stochastic model: deterministic model

stochastic model

A statistical model that attempts to account for randomness. The model aims to reproduce the sequence of events likely to occur in real life.
See also: model

stochastic model

(sto-kas'tik, sto-) [Gr. stochastikos, conjecturing, guessing] See: model

stochastic model

any mathematical model of a system that is governed by the laws of probability and contains a randomized element (for example, a computer program that models a population controlled by the mechanisms of MENDELIAN GENETICS).

model

a simulation, a copy, occurring naturally or manufactured. Models used in statistical and epidemiological studies may be deterministic, stochastic or random.

model 1
the fixed version of the linear additive model used in linear regression analysis.
model 2
the random version of the linear additive model used in linear regression analysis.
animal model
any condition in an animal that has enough similarities to a condition in humans that studies of the animal disease are will assist in understanding the human disorder.
causal model
a model used to determine the part played by multiple factors in the cause or causes of disease; a path model in which the variables are arranged temporally.
descriptive model
consist largely of diagrams and maps or charts designed to describe a real-world system.
deterministic model
see epidemiological model (below).
epidemiological model
a mathematical model, which may be a computer simulation model, of a disease for the purpose of studying the behavior of the disease in a variable animal population under variable conditions of climate, density of population, mix of population, and so on. It may be an analytical model, an economic decision making model, an explanatory model or a predictive model. It may also be a causal model, which allows the operator to vary the determinants of prevalence and observe the respective outcomes. It may permit only the use of fixed numbers so that it will always return the same answer to the same question, in which case it is a deterministic model, or it may introduce the element of chance into the selection of outcomes, in which case it is a stochastic model.
Specific computer simulation models have been prepared for the study of rinderpest, the costs of mastitis control, the cost-benefits of foot-and-mouth disease control, and the costs of mortality in dairy calves. For example see reed-frost model.
linear programming model
a statistical model of a dependent variable, e.g. Y, as a linear combination of other variables, e.g. X. The model is based on a series of linear equations with a linear equation, called the objective function, as the desired end. Such an end could, in the determination of lowest cost rations, be the total cost of each ration.
mathematical model
a representation of a system, process or relationship in a mathematical form; see also mathematical modeling.
physical model
e.g. a model of a molecule utilizing colored balls connected by rigid wires.
probabilistic model
includes basic concepts of probability theory and may be deterministic or stochastic.
Reed-Frost model
a deterministic probability model of a theoretical epidemic.
stochastic model
see epidemiological model.
symbolic model
mathematical symbols used to describe the status of variables at a given time and to define the manner in which they change and interact.
References in periodicals archive ?
s model (1995) along with a budgetary constraint where the demand follows several stochastic models.
A stochastic model defines relationships and, presumably, leads over time (with the gathering of data) to a heuristic model, which fine-tunes the relationships and permits accurate predictions.
THE RESULTANTS THROUGH THE STOCHASTIC MODEL ARMA PROGNOSES
The stochastic model of bubble coalescence presented in this work can be used to estimate the effects of coalescence on the process parameters in gas-liquid systems.
Although it is not the purpose of this study to validate the simulation code, the stochastic model was calibrated using the experimental initial MC distributions obtained by the OD method and the experimental final MC distribution obtained by the IL capacitance meter.
IN this section, we show a model of the phenomenon of superstars that does not require differential talents among individuals using the stochastic model of Lotka (1926).
Wealth for a couple under the stochastic model, v', is the following:
These findings suggest that the stationary stochastic model is perhaps less important as a description of seasonality in macroeconomic data.
The authors proposed a generalized stochastic model for the flow and disruption of information, based on a two-player outdoor game called 'Seepage', where players depicting agents attempt to block the movement of another player, an intruder, from a source node to a sink.
The text reverses the standard treatment by introducing Markov chains before renewal theory, which allows the students to begin producing stochastic model immediately.
We present a stochastic model of an experiment monitoring the spiking activity of a place cell of hippocampus of an experimental animal moving in an arena.
As shown here, the experimental response data present random fluctuations that can be explained in terms of a simple stochastic model, which assumes that plugs of concentrated polymer solution are released at random from the reactor walls from time to time.

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