Output Analysis Flashcards
is the analysis of data generated by a simulation run to predict or compare the performance of two (2) or more system designs.
Output analysis
Output analysis is performed since the output data from a simulation exhibits random variability when random or pseudorandom generators are
in use. (true or false)
true
Output analysis can determine the estimate of the mean and variance of random variables or the number of observations required to achieve a desired estimate precision. (true or false)
true
The output data of simulation models are used to help evaluate
performance measures – reflect the characteristics of the stochastic
process being modeled. (true or false)
true
The … also known as the average, gives the fundamental characteristics of the output data
mean
The …, to summarize the variability of the output data
standard deviation
The …, also known as the histogram, represents the distribution of the output data
frequency plot
are functions that are used to find an approximate value of a population parameter from random samples in the population
Point estimators
This pertains to the different between the expected value of the estimator and the value of the parameter being estimated
Bias
This states how close is the point estimator to the value of the parameter as it increases in size
Consistency
The efficiency of the estimator depends on the distribution of the population.
Efficiency
the desired parameter to be estimated lies between the two (2) values, I and u, that define the interval with a given probability.
Interval estimation
is the statistical tool mainly used in output analysis
Confidence interval
states that as the number of samples (n >= 30) increases, the distribution of the mean will be approximately normal.
Central Limit Theorem (CLT)
is the measure of risk or uncertainty. It is a range of values that is likely to contain the value of a single new observation given a specific setting or initial condition
Prediction interval