0
What else can I help you with?
What is the difference between Monte Carlo and stochastic methods of simulation?
monte carlo simulation is used to give solutions of deterministic problems whereas stochastic simulation is used for stochastic problems.
What is the difference between stochastic and random?
Wikipedia states that stochastic means random. But there are differences depending on the context. Stochastic is used as an adjective, as in stochastic process, stochastic model, or stochastic simulation, with the meaning that phenomena as analyzed has an element of uncertainty or chance (random element). If a system is not stochastic, it is deterministic. I may consider a phenomena is a random process and analyze it using a stochastic simulation model. When we generate numbers using a probability distribution, these are called random numbers, or pseudo random numbers. They can also be called random deviates. See related links.
What is the difference between deterministic and stochastic simulation models?
Any simulation model that does not contain any random or probabilistic element is called a deterministic simulation model. The characteristic of this type of simulation model is that the output is determined when the set of input elements and properties in the model have been specified. For example, a deterministic simulation model can represent a complicated system of differential equations. Many simulation models however, have at least one element that is random, which gives rise to the stochastic simulation model. In most simulation models randomness is important to mimic the real scenario, for example user connections to the internet arise 'randomly' when a person pressing a key. However, for any stochastic simulation model that has random output, the output (numerical results) can only be treated as an estimate of the true output parameters of the model
What is the main difference between animation and simulation?
There is no difference.
What is the difference between simulation languages and high level languages?
simulator is an algorithm used to simulate the process of a system...
What is the difference between deterministic and stochastic effects?
I don't know the answer I am looking for the answers too. :) I'm only 41.
What is the difference between operations research and operations management?
Operation research is tool/technique for solving the problems such as economics, queuing theory, mathematical optimization, simulation and stochastic models etc. Operation management is concerns management of production (transformation) system, system design, operation, improvement, systematic analysis of organizational process.
What is the major difference between a mathematical model and an econometric model?
Mathematical model is exact in nature.it has Beta zero and Beta one and no stochastic or disturbance variables. Econometric model represents omitted variable, error in measurement and stochastic variables.
What is the role of the stochastic error term and 119906 and 119894 in regression analysis What is the difference between the stochastic error term and the residual and 119906 and 770 and 119894?
In regression analysis, the stochastic error term represents the unobserved factors that influence the dependent variable and account for the randomness in the data. It reflects the differences between the actual values and the predicted values generated by the model. The residual, on the other hand, is the difference between the observed values and the predicted values from the regression model for the specific sample used in the analysis. While the stochastic error term is theoretical and pertains to the entire population, the residual is empirical and pertains only to the data at hand.
What is difference between numerical integration and continuous system simulation?
No I don't know... Plz give me the right answer
What is the Difference between coarse grained and fine grained parallelism?
Granularity refers to the ratio of actual computation to the amount of communication required by a parallel system. A fine-grained system will do a small amount of computation before transferring data/results. A coarse-grained system will do a relatively large amount of computation before reporting back.
What is a stochastic error term?
A stochastic error indicates an error that is random between measurements. Stochastics typically occur through the sum of many random errors.
