IDEAS home Printed from https://ideas.repec.org/a/eee/csdana/v37y2001i1p77-92.html
   My bibliography  Save this article

A statistical method for tuning a computer code to a data base

Author

Listed:
  • Cox, Dennis D.
  • Park, Jeong-Soo
  • Singer, Clifford E.

Abstract

No abstract is available for this item.

Suggested Citation

  • Cox, Dennis D. & Park, Jeong-Soo & Singer, Clifford E., 2001. "A statistical method for tuning a computer code to a data base," Computational Statistics & Data Analysis, Elsevier, vol. 37(1), pages 77-92, July.
    • Handle: RePEc:eee:csdana:v:37:y:2001:i:1:p:77-92
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167-9473(00)00057-8
    Download Restriction: Full text for ScienceDirect subscribers only.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Gregory, Allan W. & Smith, Gregor W., 1987. "Calibration as Estimation," Queen's Institute for Economic Research Discussion Papers 275210, Queen's University - Department of Economics.
    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. Wang, Sumin & Wang, Dongying & Sun, Fasheng, 2019. "A central limit theorem for marginally coupled designs," Statistics & Probability Letters, Elsevier, vol. 146(C), pages 168-174.
    2. Huaimin Diao & Yan Wang & Dianpeng Wang, 2022. "A D-Optimal Sequential Calibration Design for Computer Models," Mathematics, MDPI, vol. 10(9), pages 1-15, April.
    3. Trucano, T.G. & Swiler, L.P. & Igusa, T. & Oberkampf, W.L. & Pilch, M., 2006. "Calibration, validation, and sensitivity analysis: What's what," Reliability Engineering and System Safety, Elsevier, vol. 91(10), pages 1331-1357.
    4. Merlin Keller & Guillaume Damblin & Alberto Pasanisi & Mathieu Schumann & Pierre Barbillon & Fabrizio Ruggeri, 2022. "Validation of a Computer Code for the Energy Consumption of a Building, with Application to Optimal Electric Bill Pricing," Post-Print hal-04071903, HAL.
    5. Weiyan Mu & Chengxin Liu & Shifeng Xiong, 2023. "Nested Maximum Entropy Designs for Computer Experiments," Mathematics, MDPI, vol. 11(16), pages 1-12, August.
    6. Merlin Keller & Guillaume Damblin & Alberto Pasanisi & Mathieu Schumann & Pierre Barbillon & Fabrizio Ruggeri & Eric Parent, 2022. "Validation of a Computer Code for the Energy Consumption of a Building, with Application to Optimal Electric Bill Pricing," Econometrics, MDPI, vol. 10(4), pages 1-24, November.

    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. Touhami Abdelkhalek & Jean-Marie Dufour, 1998. "Statistical Inference For Computable General Equilibrium Models, With Application To A Model Of The Moroccan Economy," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 520-534, November.
    2. Jorgensen, Bjorn N. & Mikkelsen, Hans Ole ae, 1996. "An arbitrage free trilateral target zone model," Journal of International Money and Finance, Elsevier, vol. 15(1), pages 117-134, February.
    3. Canova, Fabio, 2002. "Validating Monetary DSGE Models through VARs," CEPR Discussion Papers 3442, C.E.P.R. Discussion Papers.
    4. Le, Vo Phuong Mai & Minford, Patrick & Wickens, Michael, 2010. "The 'Puzzles' methodology: En route to Indirect Inference?," Economic Modelling, Elsevier, vol. 27(6), pages 1417-1428, November.
    5. Aliaga, Augusto, 2020. "Reglas de política monetaria para una economía abierta con fricciones financieras: Un enfoque Bayesiano [Monetary policy rules for an open economy with financial frictions: A Bayesian approach]," MPRA Paper 100604, University Library of Munich, Germany.
    6. Fabio Canova & Eva Ortega, 1996. "Testing calibrated general equilibrium models," Economics Working Papers 166, Department of Economics and Business, Universitat Pompeu Fabra.
    7. Pablo A. Guerrón-Quintana & James M. Nason, 2013. "Bayesian estimation of DSGE models," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 21, pages 486-512, Edward Elgar Publishing.
    8. Le, Vo Phuong Mai & Meenagh, David & Minford, Patrick & Wickens, Michael, 2011. "How much nominal rigidity is there in the US economy? Testing a new Keynesian DSGE model using indirect inference," Journal of Economic Dynamics and Control, Elsevier, vol. 35(12), pages 2078-2104.
    9. Smith, Gregor W. & Zin, Stanley E., 1997. "Real business-cycle realizations," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 47(1), pages 243-280, December.
    10. Cozzi, Marco, 2014. "Equilibrium Heterogeneous-Agent models as measurement tools: Some Monte Carlo evidence," Journal of Economic Dynamics and Control, Elsevier, vol. 39(C), pages 208-226.
    11. Francis X. Diebold & Lee E. Ohanian & Jeremy Berkowitz, 1998. "Dynamic Equilibrium Economies: A Framework for Comparing Models and Data," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(3), pages 433-451.
    12. Fan, Jingwen & Minford, Patrick, 2009. "Can the Fiscal Theory of the price level explain UK inflation in the 1970s?," Cardiff Economics Working Papers E2009/26, Cardiff University, Cardiff Business School, Economics Section, revised Mar 2011.
    13. Ambler, Steve, 1991. "Les modèles du cycle économique face à la corrélation productivité-emploi," L'Actualité Economique, Société Canadienne de Science Economique, vol. 67(4), pages 532-548, décembre.
    14. Dridi, Ramdan & Guay, Alain & Renault, Eric, 2007. "Indirect inference and calibration of dynamic stochastic general equilibrium models," Journal of Econometrics, Elsevier, vol. 136(2), pages 397-430, February.
    15. Aliaga Miranda, Augusto, 2020. "Monetary policy rules for an open economy with financial frictions: A Bayesian approach," Dynare Working Papers 62, CEPREMAP.
    16. Minford, Patrick & Wickens, Michael R. & Davidson, James & Meenagh, David, 2010. "Why crises happen - nonstationary macroeconomics," CEPR Discussion Papers 8157, C.E.P.R. Discussion Papers.
    17. Duo Qin, 2010. "Econometric Studies of Business Cycles in the History of Econometrics," Working Papers 669, Queen Mary University of London, School of Economics and Finance.
    18. Alexander Ludwig, 2005. "Moment estimation in Auerbach-Kotlikoff models: How well do they match the data?," MEA discussion paper series 05093, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.

    More about this item

    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:eee:csdana:v:37:y:2001:i:1:p:77-92. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/csda .

    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.