this paper we study the relationship between the number of replications and the accuracy of the estimated quantiles of a distribution obtained by simulation. A method for testing hypotheses on the quantiles of a theoretical distribution using the simulated distribution is proposed, as well as a method to check the hypothesis of consistency of a test.
This thesis, using a computer simulation, studies the effect of the normal distribution assumption o...
This paper considers the consistency property of some test statistics based on a time series of data...
We describe a practical recipe for determining when to stop a simulation which is intended to estima...
Simulation output data analysis in performance evaluation studies of complex stochastic systems such...
It is highly necessary to study how to analyze the reliability of simulation data under small sample...
The aim of this study is to define a new statistic, PVL, based on the relative distance between the ...
Discrete event simulation is well known to be a powerful approach to investigate behaviour of comple...
We introduce an inference method based on quantiles matching, which is useful for situations where t...
To check whether a new algorithm is better, researchers use traditional statistical techniques for h...
© 2014, Pleiades Publishing, Ltd. It is shown that in some situations, for example, models invariant...
If the distribution of random variable is uknown, we are not able to figure out the value of theoret...
Confidence intervals provide a way of reporting an estimate of a population quantile along with some...
Abstract—Verification method of simulation models is explored using actual output and simulation out...
Results of simulation studies evaluating the performance of statistical methods can have a major imp...
This paper gives a survey on how to validate simulation models through the application of mathematic...
This thesis, using a computer simulation, studies the effect of the normal distribution assumption o...
This paper considers the consistency property of some test statistics based on a time series of data...
We describe a practical recipe for determining when to stop a simulation which is intended to estima...
Simulation output data analysis in performance evaluation studies of complex stochastic systems such...
It is highly necessary to study how to analyze the reliability of simulation data under small sample...
The aim of this study is to define a new statistic, PVL, based on the relative distance between the ...
Discrete event simulation is well known to be a powerful approach to investigate behaviour of comple...
We introduce an inference method based on quantiles matching, which is useful for situations where t...
To check whether a new algorithm is better, researchers use traditional statistical techniques for h...
© 2014, Pleiades Publishing, Ltd. It is shown that in some situations, for example, models invariant...
If the distribution of random variable is uknown, we are not able to figure out the value of theoret...
Confidence intervals provide a way of reporting an estimate of a population quantile along with some...
Abstract—Verification method of simulation models is explored using actual output and simulation out...
Results of simulation studies evaluating the performance of statistical methods can have a major imp...
This paper gives a survey on how to validate simulation models through the application of mathematic...
This thesis, using a computer simulation, studies the effect of the normal distribution assumption o...
This paper considers the consistency property of some test statistics based on a time series of data...
We describe a practical recipe for determining when to stop a simulation which is intended to estima...