IDEAS home Printed from https://ideas.repec.org/a/wly/japmet/v21y2006i5p677-682.html
   My bibliography  Save this article

A review of TESTU01

Author

Listed:
  • B. D. McCullough

Abstract

No abstract is available for this item.

Suggested Citation

  • B. D. McCullough, 2006. "A review of TESTU01," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(5), pages 677-682, July.
  • Handle: RePEc:wly:japmet:v:21:y:2006:i:5:p:677-682
    DOI: 10.1002/jae.917
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/jae.917
    Download Restriction: no

    File URL: https://libkey.io/10.1002/jae.917?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. McCullough, B. D. & McGeary, Kerry Anne & Harrison, Teresa D., 2006. "Lessons from the JMCB Archive," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(4), pages 1093-1107, June.
    2. Tirler, Gunter & Dalgaard, Peter & Hormann, Wolfgang & Leydold, Josef, 2004. "An error in the Kinderman-Ramage method and how to fix it," Computational Statistics & Data Analysis, Elsevier, vol. 47(3), pages 433-440, October.
    3. P.D. Coddington, 1994. "Analysis Of Random Number Generators Using Monte Carlo Simulation," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 5(03), pages 547-560.
    4. P. D. Coddington, 1996. "Tests Of Random Number Generators Using Ising Model Simulations," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 7(03), pages 295-303.
    5. H. D. Vinod & B. D. McCullough, 1999. "The Numerical Reliability of Econometric Software," Journal of Economic Literature, American Economic Association, vol. 37(2), pages 633-665, June.
    6. H. D. Vinod & B. D. McCullough, 1999. "Corrigenda: The Numerical Reliability of Econometric Software," Journal of Economic Literature, American Economic Association, vol. 37(4), pages 1565-1565, December.
    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. Keeling, Kellie B. & Pavur, Robert J., 2007. "A comparative study of the reliability of nine statistical software packages," Computational Statistics & Data Analysis, Elsevier, vol. 51(8), pages 3811-3831, May.
    2. McCullough, B.D., 2008. "Microsoft Excel's 'Not The Wichmann-Hill' random number generators," Computational Statistics & Data Analysis, Elsevier, vol. 52(10), pages 4587-4593, June.
    3. Ooms, M., 2008. "Trends in Applied Econometrics Software Development 1985-2008, an analysis of Journal of Applied Econometrics research articles, software reviews, data and code," Serie Research Memoranda 0021, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    4. Ilija Tanackov & Feta Sinani & Miomir Stanković & Vuk Bogdanović & Željko Stević & Mladen Vidić & Jelena Mihaljev-Martinov, 2019. "Natural Test for Random Numbers Generator Based on Exponential Distribution," Mathematics, MDPI, vol. 7(10), pages 1-14, October.
    5. Yalta, A. Talha, 2007. "The Numerical Reliability of GAUSS 8.0," The American Statistician, American Statistical Association, vol. 61, pages 262-268, August.
    6. Wichmann, B.A. & Hill, I.D., 2006. "Generating good pseudo-random numbers," Computational Statistics & Data Analysis, Elsevier, vol. 51(3), pages 1614-1622, December.
    7. Guy Mélard, 2014. "On the accuracy of statistical procedures in Microsoft Excel 2010," Computational Statistics, Springer, vol. 29(5), pages 1095-1128, October.
    8. Ozier, Owen, 2012. "Perils of simulation : parallel streams and the case of stata's rnormal command," Policy Research Working Paper Series 6278, The World Bank.
    9. Oluwarotimi O. Odeh & Allen M. Featherstone & Jason S. Bergtold, 2010. "Reliability of Statistical Software," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(5), pages 1472-1489.
    10. Yalta, A. Talha & Schreiber, Sven, 2012. "Random Number Generation in gretl," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 50(c01).

    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. Charles G. Renfro, 2009. "The Practice of Econometric Theory," Advanced Studies in Theoretical and Applied Econometrics, Springer, number 978-3-540-75571-5.
    2. Maren Duvendack & Richard Palmer-Jones, 2013. "Replication of quantitative work in development studies: Experiences and suggestions," Progress in Development Studies, , vol. 13(4), pages 307-322, October.
    3. Luc Bauwens & Sébastien Laurent & Jeroen V. K. Rombouts, 2006. "Multivariate GARCH models: a survey," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(1), pages 79-109, January.
    4. F. Javier Mencía & Enrique Sentana, 2004. "Estimation and Testing of Dynamic Models with Generalised Hyperbolic Innovations," Working Papers wp2004_0411, CEMFI.
    5. Mencía, Javier & Sentana, Enrique, 2009. "Multivariate location-scale mixtures of normals and mean-variance-skewness portfolio allocation," Journal of Econometrics, Elsevier, vol. 153(2), pages 105-121, December.
    6. Leonard E. Burman & W. Robert Reed & James Alm, 2011. "A Call for Replication Studies," Public Finance Review, , vol. 39(1), pages 190-190, January.
    7. A. M. Kitchen & R. Drachenberg & J. Symanzik, 2003. "Assessing the reliability of web-based statistical software," Computational Statistics, Springer, vol. 18(1), pages 107-122, March.
    8. James Alm & W. Robert Reed, 2015. "The Need for Replications," Public Finance Review, , vol. 43(2), pages 139-142, March.
    9. Lars Vilhuber, 2024. "Report of the AEA Data Editor," AEA Papers and Proceedings, American Economic Association, vol. 114, pages 878-890, May.
    10. Gilles Teyssière, 2005. "Structural time series modelling with STAMP 6.02," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(4), pages 571-577, May.
    11. Oluwarotimi O. Odeh & Allen M. Featherstone & Jason S. Bergtold, 2010. "Reliability of Statistical Software," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(5), pages 1472-1489.
    12. Works, Richard Floyd, 2016. "Econometric modeling of exchange rate determinants by market classification: An empirical analysis of Japan and South Korea using the sticky-price monetary theory," MPRA Paper 76382, University Library of Munich, Germany.
    13. David E. Allen & Michael McAleer, 2018. "Theoretical and Empirical Differences between Diagonal and Full BEKK for Risk Management," Energies, MDPI, vol. 11(7), pages 1-19, June.
    14. Yalta, A. Talha, 2008. "The accuracy of statistical distributions in Microsoft® Excel 2007," Computational Statistics & Data Analysis, Elsevier, vol. 52(10), pages 4579-4586, June.
    15. Giovanni Baiocchi, 2007. "Reproducible research in computational economics: guidelines, integrated approaches, and open source software," Computational Economics, Springer;Society for Computational Economics, vol. 30(1), pages 19-40, August.
    16. Jeffrey S. Zax, 2002. "Comment on “Estimating the Extent of Racially Polarized Voting in Multicandidate Contests†by Bernard Grofman and Michael Migalski," Sociological Methods & Research, , vol. 31(1), pages 75-86, August.
    17. Vinod, H. D., 2001. "Care and feeding of reproducible econometrics," Journal of Econometrics, Elsevier, vol. 100(1), pages 87-88, January.
    18. A. Yalta & A. Yalta, 2010. "Should Economists Use Open Source Software for Doing Research?," Computational Economics, Springer;Society for Computational Economics, vol. 35(4), pages 371-394, April.
    19. Gatfaoui, Hayette, 2013. "Translating financial integration into correlation risk: A weekly reporting's viewpoint for the volatility behavior of stock markets," Economic Modelling, Elsevier, vol. 30(C), pages 776-791.
    20. Reagle, Derrick P. & Vinod, H. D., 2003. "Inference for negativist theory using numerically computed rejection regions," Computational Statistics & Data Analysis, Elsevier, vol. 42(3), pages 491-512, March.

    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:wly:japmet:v:21:y:2006:i:5:p:677-682. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.interscience.wiley.com/jpages/0883-7252/ .

    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.