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A linear model for uniformity trial experiments

Author

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  • Alok K. Shukla
  • Subhash K. Yadav
  • G. C. Mishra

Abstract

Uniformity trial experiments are required to assess fertility variation in agricultural land. Several models have appeared in literature, of which Fairfield Smith’s Variance Law assuming a nonlinear relationship between the coefficient of variation (C.V.) and a plot size has been extensively used in uniformity trial studies. A linear model has been proposed for uniformity trial experiments and it has shown better results as compared to existing models. The expression for point of maximum curvature for the proposed model is much simpler as compared to the model of Fairfield Smith. The appropriateness of the proposed model has also been verified with the help of a data set.

Suggested Citation

  • Alok K. Shukla & Subhash K. Yadav & G. C. Mishra, 2013. "A linear model for uniformity trial experiments," Statistics in Transition new series, Główny Urząd Statystyczny (Polska), vol. 14(1), pages 161-170, March.
    • Handle: RePEc:csb:stintr:v:14:y:2013:i:1:p:161-170
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    Cited by:

    1. Alok Kumar Shukla & Subhash Kumar Yadav, 2020. "New linear model for optimal cluster size in cluster sampling," Statistics in Transition New Series, Polish Statistical Association, vol. 21(2), pages 189-200, June.
    2. Shukla Alok Kumar & Yadav Subhash Kumar, 2020. "New linear model for optimal cluster size in cluster sampling," Statistics in Transition New Series, Polish Statistical Association, vol. 21(2), pages 189-200, June.

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