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Aspects of Statistical Technique and Presentation

Published online by Cambridge University Press:  03 October 2008

Janet Riley
Affiliation:
Statistics Department, Institute for Arable Crops Research, Rothamsted Experimental Station, Harpenden, England

Summary

This paper offers guidelines for the presentation of statistical material in scientific journals and project reports. Emphasis is given to the importance of planning a study so that the various components of statistical material can be linked to ensure the full efficiency of the work; if this is done well, the presentation of the results of the study, including the statistical components, can be achieved with greater ease.

Type
Research Article
Copyright
Copyright © Cambridge University Press 1994

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References

REFERENCES

Altman, D. G. & Gardner, M. J. (1986). Presentation of variability. The Lancet September 13:639.CrossRefGoogle Scholar
Chatfield, C. (1985). The initial examination of data (with discussion). journal of the Royal Statistical Society, A 148:214253.CrossRefGoogle Scholar
Clarke, R. T. (1965). The presentation of numerical results of experiments for publication in a scientific agricultural journal. Experimental Agriculture 1:315319.CrossRefGoogle Scholar
Draper, N. R. & Smith, H. (1981). Applied Regression Analysis. (Second Edition.) New York: Wiley.Google Scholar
Finney, D. J. & Harper, J. L. (1994). Editorial code for presentation of statistical analyses. Experimental Agriculture 30:377380.CrossRefGoogle Scholar
Hudson, J. P. (1979). Preparing papers for scientific journals (An editor's thoughts about authors). Experimental Agriculture 15:307313.CrossRefGoogle Scholar
McCullagh, P. & Nelder, J. A. (1983). Generalized Linear Models. London: Chapman and Hall.CrossRefGoogle Scholar
Monteith, J. L. (1984). Consistency and convenience in the choice of units for agricultural science. Experimental Agriculture 20:105117.CrossRefGoogle Scholar
Pearce, S. C. (1992). Data analysis in agricultural experiments. I. Contrasts of interest. Experimental Agriculture 28:245254.CrossRefGoogle Scholar
Pearce, S. C. (1993). Data analysis in agricultural experiments. III. Multiple comparisons. Experimental Agriculture 29: 18.CrossRefGoogle Scholar
Riley, J. (1988). Data recording for agroforestry studies. Agroforestry Systems 7:121134.CrossRefGoogle Scholar
Riley, J., Bekele, I. & Shrewsbury, B. (1983). How an analysis of variance is affected by the degree of precision of the data. Bulletin in Applied Statistics 10:1843.CrossRefGoogle Scholar
Riley, J. & Darmi, M. (1994). A survey of the use of statistics in aquaculture journals. Aquaculture and Fisheries Management (In press).Google Scholar
Riley, J. & Ryder, K. (1979). Forms for recording details and results of field experiments. Experimental Agriculture 15:114.CrossRefGoogle Scholar
Ryder, K. (1986). Numerical tables: guidelines for presentation. journal of Applied Statistics 13:7788.CrossRefGoogle Scholar
Tukey, J. W. (1977). Exploratory Data Analysis. Reading, Mass.: Addison-Wesley.Google Scholar
Wheatley, G. A. (1981) Notes on the preparation, illustration and presentation of papers for scientific meetings. Annals of Applied Biology 99:191194.CrossRefGoogle Scholar