Accounting for input-model and input-parameter uncertainties in simulation
نویسندگان
چکیده
منابع مشابه
Accounting for input-model and input-parameter uncertainties in simulation
To account for the input-model and input-parameter uncertainties inherent in many simulations as well as the usual stochastic uncertainty, we present a Bayesian input-modeling technique that yields improved point and confidence-interval estimators for a selected posterior mean response. Exploiting prior information to specify the prior probabilities of the postulated input models and the associ...
متن کاملAccounting for parameter uncertainty in simulation input modeling
We formulate and evaluate a Bayesian approach to probabilistic input modeling. Taking into account the parameter and stochastic uncertainties inherent in most simulations, this approach yields valid predictive inferences about the output quantities of interest. We use prior information to construct prior distributions on the input-model parameters. Combining this prior information with the like...
متن کاملAccounting for Input Uncertainty in Discrete-event Simulation
ZOUAOUI, FAKER. Accounting For Input Uncertainty in Discrete-Event Simulation. (Under the direction of James R. Wilson.) The primary objectives of this research are formulation and evaluation of a Bayesian approach for selecting input models in discrete-event stochastic simulation. This approach takes into account the model, parameter, and stochastic uncertainties that are inherent in most simu...
متن کاملComparative Analysis of Sectoral Multipliers of Input-Output Model and Social Accounting Matrix
The present study is to indicate that the comparison between sectoral production multipliers of an input-output (I/O) model and a social accounting matrix (SAM) framework is almost impossible without taking into account accounting balances and theoretical considerations. Theoretically, the I/O model provides the Leontief’s production function, on the basis of which sectoral output multiplier ca...
متن کاملImpact of input data uncertainties on stormwater model parameters
The use of urban drainage models requires careful calibration, where model parameters are selected in order to minimize the difference between measured and simulated results. It has been recognized that often more than one set of calibration parameters can achieve similar model accuracy. A probability distribution of model parameters should therefore be constructed to examine the model’s sensit...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IIE Transactions
سال: 2004
ISSN: 0740-817X,1545-8830
DOI: 10.1080/07408170490500708