IDEAS home Printed from https://ideas.repec.org/h/nbr/nberch/9446.html
   My bibliography  Save this book chapter

Linear Decision with Experimentation

In: Annals of Economic and Social Measurement, Volume 1, number 4

Author

Listed:
  • Elizabeth Chase MacRae

Abstract

No abstract is available for this item.

Suggested Citation

  • Elizabeth Chase MacRae, 1972. "Linear Decision with Experimentation," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 1, number 4, pages 437-447, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberch:9446
    as

    Download full text from publisher

    File URL: http://www.nber.org/chapters/c9446.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Elizabeth Chase MacRae, 1971. "Matrix derivatives with an application to the analysis of covariance structures," Special Studies Papers 20, Board of Governors of the Federal Reserve System (U.S.).
    2. Elizabeth Chase MacRae, 1972. "Optimal estimation and control: a structural approximation," Special Studies Papers 27, Board of Governors of the Federal Reserve System (U.S.).
    3. Charles C. Holt & Franco Modigliani & John F. Muth, 1956. "Derivation of a Linear Decision Rule for Production and Employment," Management Science, INFORMS, vol. 2(2), pages 159-177, January.
    Full references (including those not matched with items on IDEAS)

    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. Gable, John L., 1963. "Rate Differentials: A Mathematical Model Recognizing Inventory Effects," Transportation Research Forum Proceedings 1960s 317922, Transportation Research Forum.
    2. Jean-Bernard Chatelain & Kirsten Ralf, 2020. "How macroeconomists lost control of stabilization policy: towards dark ages," The European Journal of the History of Economic Thought, Taylor & Francis Journals, vol. 27(6), pages 938-982, November.
    3. Chen, Yao & Djamasbi, Soussan & Du, Juan & Lim, Sungmook, 2013. "Integer-valued DEA super-efficiency based on directional distance function with an application of evaluating mood and its impact on performance," International Journal of Production Economics, Elsevier, vol. 146(2), pages 550-556.
    4. Suresh P. Sethi & Sushil Gupta & Vipin K. Agrawal & Vijay K. Agrawal, 2022. "Nobel laureates’ contributions to and impacts on operations management," Production and Operations Management, Production and Operations Management Society, vol. 31(12), pages 4283-4303, December.
    5. Saravanan Kesavan & Bradley R. Staats & Wendell Gilland, 2014. "Volume Flexibility in Services: The Costs and Benefits of Flexible Labor Resources," Management Science, INFORMS, vol. 60(8), pages 1884-1906, August.
    6. Harvey M. Wagner, 2002. "And Then There Were None," Operations Research, INFORMS, vol. 50(1), pages 217-226, February.
    7. Sargent, Thomas J., 2024. "Critique and consequence," Journal of Monetary Economics, Elsevier, vol. 141(C), pages 2-13.
    8. White, Sheneeta W. & Badinelli, Ralph D., 2012. "A model for efficiency-based resource integration in services," European Journal of Operational Research, Elsevier, vol. 217(2), pages 439-447.
    9. Gomes da Silva, Carlos & Figueira, José & Lisboa, João & Barman, Samir, 2006. "An interactive decision support system for an aggregate production planning model based on multiple criteria mixed integer linear programming," Omega, Elsevier, vol. 34(2), pages 167-177, April.
    10. Wallace J. Hopp & David Simchi-Levi, 2021. "Management Science : The Legacy of the Past and Challenge of the Future," Management Science, INFORMS, vol. 67(9), pages 5306-5316, September.
    11. Pedro Garcia Duarte, 2005. "A FEASIBLE AND OBJECTIVE CONCEPT OF OPTIMALITY: THE QUADRATIC LOSS FUNCTION AND U. S. MONETARY POLICY IN THE 1960's," Anais do XXXIII Encontro Nacional de Economia [Proceedings of the 33rd Brazilian Economics Meeting] 016, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    12. Körpeoglu, Ersin & Yaman, Hande & Selim Aktürk, M., 2011. "A multi-stage stochastic programming approach in master production scheduling," European Journal of Operational Research, Elsevier, vol. 213(1), pages 166-179, August.
    13. Krishna Kumar, C. & Sinha, Bani K., 1999. "Efficiency based production planning and control models," European Journal of Operational Research, Elsevier, vol. 117(3), pages 450-469, September.
    14. Andrea Borenich & Peter Greistorfer & Marc Reimann, 2020. "Model-based production cost estimation to support bid processes: an automotive case study," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 28(3), pages 841-868, September.
    15. Aleda M. Roth & Vinod R. Singhal, 2022. "Pioneering role of the Production and Operations Management in promoting empirical research in operations management," Production and Operations Management, Production and Operations Management Society, vol. 31(12), pages 4529-4543, December.
    16. Marvin D. Troutt & Wan-Kai Pang & Shui-Hung Hou, 2006. "Behavioral Estimation of Mathematical Programming Objective Function Coefficients," Management Science, INFORMS, vol. 52(3), pages 422-434, March.
    17. Preston J. Miller & Arthur J. Rolnick, 1979. "The CBO's policy analysis: an unquestionable misuse of a questionable theory," Staff Report 49, Federal Reserve Bank of Minneapolis.

    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:nbr:nberch:9446. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.html .

    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.