Pearce, S.C. (1992) Data-analysis in agricultural experimentation .2. Some standard contrasts. Experimental Agriculture, 28 (4). pp. 375-383. ISSN 0014-4797. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)
In the preceding paper in this series (Pearce, 1992) it was explained how an experimenter can ask specific questions about the treatment responses and can obtain answers to them by using contrasts of interest. Here, two standard cases are examined, one in which treatments are quantitative in nature, like the amount of fertilizer applied or the dates on which spraying takes place, and the other in which the treatment set is formed from all combinations of two or more other sets. (Such a 'factorial set' might be formed from several kinds of herbicide being used with a range of cultivations.) Finally, a non-standard example is examined in which a well considered set of treatments provided information directly relevant to the subject of enquiry. The subject is considered with some emphasis on testing, but in many instances estimation would be better.
Q Science > QA Mathematics (inc Computing science)
|Divisions:||Faculties > Science Technology and Medical Studies > School of Mathematics Statistics and Actuarial Science|
|Depositing User:||M. Nasiriavanaki|
|Date Deposited:||22 Aug 2009 21:17|
|Last Modified:||22 Aug 2009 21:17|
|Resource URI:||https://kar.kent.ac.uk/id/eprint/22397 (The current URI for this page, for reference purposes)|