# 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.

## 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.
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References in periodicals archive ?
Next model validation is performed using the stochastic model reliability metric with multivariate output.
In this section we provide numerical simulation results to substantiate the analytical findings for the deterministic and stochastic model reported in the previous sections.
s model (multi-item) along with a budgetary constraint where the demand follows several stochastic models.
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:
Specifically, this study employs a stochastic model of Yule (1924) and Simon (1955) as probabilistic mechanisms through which individuals are chosen by casting directors for their appearance in motion pictures.
Steve Warren, Sompo Canopius Group Head of Energy & Engineering, added, We are proud to have been part of the development of the first stochastic model of the region and to be talking about it at APPEA 2017.
In this paper, random factors are taken into consideration on a basis of power market interval models, presenting a stochastic model for power markets with interval parameters, combining the thought of randomness and interval.
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.
If the stochastic model is correct, then tumor cells are biologically homogeneous and genetic or epigenetic programs that allow for tumorigenesis are operative in the majority of cells that comprise a tumor.

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