IDEAS home Printed from https://ideas.repec.org/a/bla/biomet/v62y2006i1p103-108.html

Construction of Resolvable Spatial Row–Column Designs

Author

Listed:
  • E. R. Williams
  • J. A. John
  • D. Whitaker

Abstract

No abstract is available for this item.

Suggested Citation

  • E. R. Williams & J. A. John & D. Whitaker, 2006. "Construction of Resolvable Spatial Row–Column Designs," Biometrics, The International Biometric Society, vol. 62(1), pages 103-108, March.
  • Handle: RePEc:bla:biomet:v:62:y:2006:i:1:p:103-108
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2005.00393.x
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. S. J. Welham & R. Thompson, 1997. "Likelihood Ratio Tests for Fixed Model Terms using Residual Maximum Likelihood," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 59(3), pages 701-714.
    2. J. A. John & D. Whitaker, 2000. "Recursive formulae for the average efficiency factor in block and row‐column designs," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 62(3), pages 575-583.
    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. Emlyn R. Williams & Hans-Peter Piepho, 2018. "An Evaluation of Error Variance Bias in Spatial Designs," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 23(1), pages 83-91, March.
    2. L. Rob Verdooren, 2020. "History of the Statistical Design of Agricultural Experiments," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 25(4), pages 457-486, December.
    3. Hans-Peter Piepho & Emlyn R. Williams & Volker Michel, 2016. "Nonresolvable Row–Column Designs with an Even Distribution of Treatment Replications," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 21(2), pages 227-242, June.

    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. Arnouts, Heidi & Goos, Peter, 2010. "Update formulas for split-plot and block designs," Computational Statistics & Data Analysis, Elsevier, vol. 54(12), pages 3381-3391, December.
    2. Pringle, M.J. & Marchant, B.P. & Lark, R.M., 2008. "Analysis of two variants of a spatially distributed crop model, using wavelet transforms and geostatistics," Agricultural Systems, Elsevier, vol. 98(2), pages 135-146, September.
    3. Josafhat Salinas-Ruíz & Sandra Luz Hernández-Valladolid & Juan Valente Hidalgo-Contreras & Juan Manuel Romero-Padilla, 2022. "Selection and Fitting of Mixed Models in Sugarcane Yield Trials," Agriculture, MDPI, vol. 12(3), pages 1-12, March.
    4. Orelien, Jean G. & Edwards, Lloyd J., 2008. "Fixed-effect variable selection in linear mixed models using R2 statistics," Computational Statistics & Data Analysis, Elsevier, vol. 52(4), pages 1896-1907, January.
    5. Manor, Orly & Zucker, D.M.David M., 2004. "Small sample inference for the fixed effects in the mixed linear model," Computational Statistics & Data Analysis, Elsevier, vol. 46(4), pages 801-817, July.
    6. Jing, Qi & Bouman, Bas & van Keulen, Herman & Hengsdijk, Huib & Cao, Weixing & Dai, Tingbo, 2008. "Disentangling the effect of environmental factors on yield and nitrogen uptake of irrigated rice in Asia," Agricultural Systems, Elsevier, vol. 98(3), pages 177-188, October.
    7. Stein, Markus Chagas & da Silva, Michel Ferreira & Duczmal, Luiz Henrique, 2014. "Alternatives to the usual likelihood ratio test in mixed linear models," Computational Statistics & Data Analysis, Elsevier, vol. 69(C), pages 184-197.
    8. Pringle, M.J. & Baxter, S.J. & Marchant, B.P. & Lark, R.M., 2008. "Spatial analysis of the error in a model of soil nitrogen," Ecological Modelling, Elsevier, vol. 211(3), pages 453-467.
    9. Walter Dempsey & Peter McCullagh, 2018. "Survival models and health sequences," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 24(4), pages 550-584, October.

    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:bla:biomet:v:62:y:2006:i:1:p:103-108. 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.blackwellpublishing.com/journal.asp?ref=0006-341X .

    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.