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These words are used to describe ways of modeling or understanding the world. "Stochastic" means that some elements of the model or description are thought of as being random. (The word "Stochastic" is derived from an ancient Greek word for random.) A model or description that has no random factors, but conceivably could, is called "deterministic."
For example, the equation
Q = VC
where Q = charge, V = voltage, and C = capacitance, is a deterministic physical model. One stochastic version of it would be
Q = VC + e
where e is a random variable introduced to account for or characterize the deviations between the actual charges and the values predicted by the deterministic model.
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.
How would you explain to an idiot what 'Stochastic Processes' are?
Buying a lottery ticket daily is deterministic. Winning a lottery and getting a prize is Stochastic.
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 the difference between the stochastic error term and the residual?
Ah, the stochastic error term and the residual are like happy little clouds in our painting. The stochastic error term represents the random variability in our data that we can't explain, while the residual is the difference between the observed value and the predicted value by our model. Both are important in understanding and improving our models, just like adding details to our beautiful landscape.
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 deterministic and stochastic effects?
I don't know the answer I am looking for the answers too. :) I'm only 41.
What are deterministic and stochastic effects of x-ray?
No threshold
Write down the difference between stochastic and deterministic with example?
Stochastic systems involve randomness and unpredictability, meaning their outcomes can vary even with the same initial conditions. For example, rolling a dice is stochastic since each roll can yield different results. In contrast, deterministic systems have predictable outcomes based on initial conditions, where the same inputs will always produce the same results, such as solving a mathematical equation like (2 + 2 = 4).
What is a sequence that is predictable?
A deterministic sequence - as opposed to a stochastic or random sequence.
Difference between Monte Carlo computation and stochastic simulation?
monte carlo simulation is used to give solutions of deterministic problems whereas stochastic simulation is used for stochastic problems. basically Monte carlo simulation was named after world war -2 by j. von newmann to solve real world problems From - kapil M.tech Student
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 variable demand stochastic demand deterministic demand?
stochastic demand is random demand. it is determined by predictable actions and a random element.
How would you explain to an idiot what 'Stochastic Processes' are?
Buying a lottery ticket daily is deterministic. Winning a lottery and getting a prize is Stochastic.
What does the word stochastic mean?
Stochastic means non-deterministic. This means that something contains an inherent degree of randomness. For more detail, you should consult a dictionary or more detailed literature on probability theory.
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 has the author H Marcus-Roberts written?
H. Marcus-Roberts has written: 'Comparison of some deterministic and stochastic models of population growth'
