IDEAS home Printed from https://ideas.repec.org/p/tiu/tiurem/69669687-58b0-43b6-b04a-d1f721793820.html
   My bibliography  Save this paper

Identifying the important factors in simulation models with many factors

Author

Listed:
  • Bettonvil, B.W.M.

    (Tilburg University, Faculty of Economics)

  • Kleijnen, J.P.C.

    (Tilburg University, Faculty of Economics)

Abstract

Simulation models may have many parameters and input variables (together called factors), while only a few factors are really important (parsimony principle). For such models this paper presents an effective and efficient screening technique to identify and estimate those important factors. The technique extends the classical binary search technique to situations with more than a single important factor. The technique uses a low-order polynomial approximation to the input/output behavior of the simulation model. This approximation may account for interactions among factors. The technique is demonstrated by applying it to a complicated ecological simulation that models the increase of temperatures worldwide.
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another ve
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Bettonvil, B.W.M. & Kleijnen, J.P.C., 1991. "Identifying the important factors in simulation models with many factors," Research Memorandum FEW 498, Tilburg University, School of Economics and Management.
    • Handle: RePEc:tiu:tiurem:69669687-58b0-43b6-b04a-d1f721793820
    as

    Download full text from publisher

    File URL: https://pure.uvt.nl/ws/portalfiles/portal/1138427/BBKJ5617994.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Jack P. C. Kleijnen & Ben Annink, 1992. "Vector Computers, Monte Carlo Simulation and Regression Analysis: An Introduction," Management Science, INFORMS, vol. 38(2), pages 170-181, February.
    2. van Groenendaal, W.J.H., 1994. "Investment analysis and decision support for gas transmission on Java," Other publications TiSEM ada5b6e7-0462-411e-9a8c-1, Tilburg University, School of Economics and Management.
    3. J. E. Jacoby & S. Harrison, 1962. "Multi‐variable experimentation and simulation models," Naval Research Logistics Quarterly, John Wiley & Sons, vol. 9(2), pages 121-136, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kleijnen, Jack P.C., 1992. "Sensitivity analysis of simulation experiments: regression analysis and statistical design," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 34(3), pages 297-315.
    2. Kleijnen, J.P.C., 1995. "Statistical validation of simulation models : A case study," Discussion Paper 1995-42, Tilburg University, Center for Economic Research.
    3. Kleijnen, J.P.C. & Alink, G.A., 1992. "Validation of simulation models : Mine-hunting case-study," Other publications TiSEM 7158fbd4-2932-4cc9-8c10-5, Tilburg University, School of Economics and Management.
    4. Kleijnen, Jack P. C., 1995. "Statistical validation of simulation models," European Journal of Operational Research, Elsevier, vol. 87(1), pages 21-34, November.
    5. Kleijnen, Jack P. C., 1995. "Verification and validation of simulation models," European Journal of Operational Research, Elsevier, vol. 82(1), pages 145-162, April.
    6. Kleijnen, J.P.C., 1995. "Sensitivity analysis and optimization of system dynamics models : Regression analysis and statistical design of experiments," Other publications TiSEM 87ee6ee0-592c-4204-ac50-6, Tilburg University, School of Economics and Management.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kleijnen, J.P.C., 1995. "Sensitivity analysis and related analysis : A survey of statistical techniques," Research Memorandum FEW 706, Tilburg University, School of Economics and Management.
    2. Kleijnen, J.P.C. & Bettonvil, B.W.M., 1997. "Searching for important factors in simulation models with many factors : Sequential bifurcation," Other publications TiSEM be826993-22f9-4cb3-89df-3, Tilburg University, School of Economics and Management.
    3. Bettonvil, Bert & Kleijnen, Jack P. C., 1997. "Searching for important factors in simulation models with many factors: Sequential bifurcation," European Journal of Operational Research, Elsevier, vol. 96(1), pages 180-194, January.
    4. Kleijnen, J.P.C., 1995. "Statistical validation of simulation models : A case study," Other publications TiSEM 4da192cf-c3f4-40a4-aea4-5, Tilburg University, School of Economics and Management.
    5. Bettonvil, B.W.M., 1989. "Sequential bifurcation : The design of a factor screening method," Other publications TiSEM fdb2fe2b-eb4a-49e3-abe1-d, Tilburg University, School of Economics and Management.
    6. Bettonvil, B.W.M., 1989. "Sequential bifurcation for observations with random errors," Other publications TiSEM 1d871f12-9634-4883-99d6-b, Tilburg University, School of Economics and Management.
    7. van Groenendaal, W.J.H., 1995. "Estimating net present value variability for deterministic models," Other publications TiSEM 33c2feb3-8410-4f92-84c7-9, Tilburg University, School of Economics and Management.
    8. Borgonovo, Emanuele & Rabitti, Giovanni, 2023. "Screening: From tornado diagrams to effective dimensions," European Journal of Operational Research, Elsevier, vol. 304(3), pages 1200-1211.

    More about this item

    Keywords

    Simulation Models; econometrics;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:tiu:tiurem:69669687-58b0-43b6-b04a-d1f721793820. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Richard Broekman (email available below). General contact details of provider: https://www.tilburguniversity.edu/about/schools/economics-and-management/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.