Adjustment of the treatment effects by controlling covariates in agricultural research. | Sarhad Journal of Agriculture 2007

Author(s)

Zafar Mahmood Department of Maths, Stats & Computer Science, NWFP Agricultural University, Peshawar, Pakistan

Zahid Hussain Department of Maths, Stats & Computer Science, NWFP Agricultural University, Peshawar, Pakistan

Salahuddin Department of Statistics, University of Peshawar, Pakistan

Bahrawar Jan Department of Statistics, University of Peshawar, Pakistan

Muhammad Idrees Department of Agricultural Extension and Communication, NWFP Agriculture University Peshawar, Pakistan

Abstract

In most of agriculture research it is commonly observed that experimental data not only depends on the treatments but also functionally related to other ordinal or numeric variables. In such cases the treatment effect can be more precisely measured and compared only by analyzing the covariance`s of the data. In this paper different directions of ANCOVA applications in agricultural research are pointed and emphasized to measure the character of the primary interest. It is also attempted to explain the covariance analysis in agricultural research through citing examples. The role of the functional relationship between the covariates and primary interest variable is highlighted for the removal of the unnecessary effects.

Publication Details

Page(s) 509-513

DOI DOI not available

Published Journal: Sarhad Journal of Agriculture, Volume: 23, Issue: 2, Year: 2007

Keywords

Keywords are not available for this article.

References

References are not available for this document.

Citations

Citations are not available for this document.