IDEAS home Printed from https://ideas.repec.org/p/wpa/wuwpem/0206007.html
   My bibliography  Save this paper

Tables of Percentage Points of the k-Variate Normal Distribution for Large Values of k

Author

Listed:
  • William C. Horrace

    (University of Arizona)

Abstract

This paper gives tabulations of the upper percentage points of the maximum absolute value of the k variate normal distribution with common correlation for values of k as high as 500. The tables are useful for performing multiple comparisons procedures in experiments with large numbers of treatments.

Suggested Citation

  • William C. Horrace, 2002. "Tables of Percentage Points of the k-Variate Normal Distribution for Large Values of k," Econometrics 0206007, University Library of Munich, Germany.
    • Handle: RePEc:wpa:wuwpem:0206007
    Note: Type of Document - Acrobat PDF; prepared on IBM PC; to print on HP; pages: 9; figures: Included. Tables of a multivariate normal distibution
    as

    Download full text from publisher

    File URL: https://econwpa.ub.uni-muenchen.de/econ-wp/em/papers/0206/0206007.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. William C. Horrace & Peter Schmidt, 2000. "Multiple comparisons with the best, with economic applications," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(1), pages 1-26.
    2. William C. Horrace & Peter Schmidt, 2002. "Confidence Statements for Efficiency Estimates from Stochastic Frontier Models," Econometrics 0206006, University Library of Munich, Germany.
    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. Kim, Yangseon & Schmidt, Peter, 2008. "Marginal Comparisons With the Best and the Efficiency Measurement Problem," Journal of Business & Economic Statistics, American Statistical Association, vol. 26, pages 253-260, April.
    2. William C. Horrace, 2002. "Selection Procedures for Order Statistics in Empirical Economic Studies," Econometrics 0206005, University Library of Munich, Germany.

    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. Alfonso Flores-Lagunes & William C. Horrace & Kurt E. Schnier, 2007. "Identifying technically efficient fishing vessels: a non-empty, minimal subset approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(4), pages 729-745.
    2. I. Fraser & W. Horrace, 2003. "Technical Efficiency of Australian Wool Production: Point and Confidence Interval Estimates," Journal of Productivity Analysis, Springer, vol. 20(2), pages 169-190, September.
    3. Kim Rose Olsen & Andrew Street, 2008. "The analysis of efficiency among a small number of organisations: How inferences can be improved by exploiting patient‐level data," Health Economics, John Wiley & Sons, Ltd., vol. 17(6), pages 671-681, June.
    4. Kim, Yangseon & Schmidt, Peter, 2008. "Marginal Comparisons With the Best and the Efficiency Measurement Problem," Journal of Business & Economic Statistics, American Statistical Association, vol. 26, pages 253-260, April.
    5. Young Hoon Lee, 2009. "Frontier Models and their Application to the Sports Industry," Working Papers 0903, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy), revised 2009.
    6. Viliam Druska & William C. Horrace, 2004. "Generalized Moments Estimation for Spatial Panel Data: Indonesian Rice Farming," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(1), pages 185-198.
    7. Christian Growitsch & Tooraj Jamasb & Michael Pollitt, 2009. "Quality of service, efficiency and scale in network industries: an analysis of European electricity distribution," Applied Economics, Taylor & Francis Journals, vol. 41(20), pages 2555-2570.
    8. Myungsup Kim & Yangseon Kim & Peter Schmidt, 2007. "On the accuracy of bootstrap confidence intervals for efficiency levels in stochastic frontier models with panel data," Journal of Productivity Analysis, Springer, vol. 28(3), pages 165-181, December.
    9. Tai-Hsin Huang & Tong-Liang Kao, 2006. "Joint estimation of technical efficiency and production risk for multi-output banks under a panel data cost frontier model," Journal of Productivity Analysis, Springer, vol. 26(1), pages 87-102, August.
    10. William C. Horrace & Seth O. Richards, 2007. "A Monte Carlo Study of Efficiency Estimates from Frontier Models," Center for Policy Research Working Papers 97, Center for Policy Research, Maxwell School, Syracuse University.
    11. Qu Feng & William C. Horrace, 2012. "Alternative technical efficiency measures: Skew, bias and scale," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(2), pages 253-268, March.
    12. Kanter, Christopher A. & Hueth, Brent & Gould, Brian W., 2013. "A Comparative Efficiency Analysis of Cooperative and Non-cooperative Dairy Manufacturing Firms," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150497, Agricultural and Applied Economics Association.
    13. Horrace, William C., 2005. "On ranking and selection from independent truncated normal distributions," Journal of Econometrics, Elsevier, vol. 126(2), pages 335-354, June.
    14. William C. Horrace, 2002. "Selection Procedures for Order Statistics in Empirical Economic Studies," Econometrics 0206005, University Library of Munich, Germany.
    15. Richard A. Hofler & John A. List, 2004. "Valuation on the Frontier: Calibrating Actual and Hypothetical Statements of Value," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(1), pages 213-221.
    16. Mehdi Farsi & Aurelio Fetz & Massimo Filippini, 2007. "Benchmarking and Regulation in the Electricity Distribution Sector," CEPE Working paper series 07-54, CEPE Center for Energy Policy and Economics, ETH Zurich.
    17. Kelvin Balcombe & Hristos Doucouliagos & Iain Fraser, 2007. "Input usage, output mix and industry deregulation: an analysis of the Australian dairy manufacturing industry ," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 51(2), pages 137-156, June.
    18. Helvoigt, Ted L. & Adams, Darius M., 2009. "A stochastic frontier analysis of technical progress, efficiency change and productivity growth in the Pacific Northwest sawmill industry," Forest Policy and Economics, Elsevier, vol. 11(4), pages 280-287, July.
    19. Feng, Qu & Horrace, William C., 2012. "Estimating technical efficiency in micro panels," Economics Letters, Elsevier, vol. 117(3), pages 730-733.
    20. Federico Belotti & Silvio Daidone & Giuseppe Ilardi & Vincenzo Atella, 2013. "Stochastic frontier analysis using Stata," Stata Journal, StataCorp LP, vol. 13(4), pages 718-758, December.

    More about this item

    Keywords

    Multivariate normal distribution; multiple comparisons; simultaneous confidence intervals;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:wpa:wuwpem:0206007. 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: EconWPA (email available below). General contact details of provider: https://econwpa.ub.uni-muenchen.de .

    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.