Skip to Main Content
Reliable results from stochastic simulation modelsAuthor(s): Donald L., Jr. Gochenour; Leonard R. Johnson
Source: Res. Pap. NE-277. Upper Darby, PA: U.S. Department of Agriculture, Forest Service, Northeastern Forest Experiment Station. 5p.
Publication Series: Research Paper (RP)
Station: Northeastern Research Station
PDF: View PDF (808.59 KB)
DescriptionDevelopment of a computer simulation model is usually done without fully considering how long the model should run (e.g. computer time) before the results are reliable. However construction of confidence intervals (CI) about critical output parameters from the simulation model makes it possible to determine the point where model results are reliable. If the results are not reliable, due to the variability within the model, the model user at least knows the degree of confidence that may be placed in the results. Such factors as: 1) model variability, 2) prescribed width of the CI, and 3) the level of confidence of the simulation model results, have a profound effect on the amount of computer time needed to obtain reliable results. Since proper choice of these parameters can significantly affect the time and cost needed to obtain the results from the model, it is imperative that the user of the model consider these factors.
- Check the Northern Research Station web site to request a printed copy of this publication.
- Our on-line publications are scanned and captured using Adobe Acrobat.
- During the capture process some typographical errors may occur.
- Please contact Sharon Hobrla, firstname.lastname@example.org if you notice any errors which make this publication unusable.
- We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
- This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
CitationGochenour, Donald L., Jr.; Johnson, Leonard R. 1973. Reliable results from stochastic simulation models. Res. Pap. NE-277. Upper Darby, PA: U.S. Department of Agriculture, Forest Service, Northeastern Forest Experiment Station. 5p.
- Censoring Data for Resistance Factor Calculations in Load and Resistance Factor Design: A Preliminary Study
- Land-cover impacts on streamflow: a change-detection modelling approach that incorporates parameter uncertainty
- Uncertainty estimation of the self-thinning process by Maximum-Entropy Principle
XML: View XML