Relevance of Data Transformation Techniques in Weed Science

Journal Title: Journal of Research in Weed Science - Year 2020, Vol 3, Issue 1

Abstract

In the fieldof weed science,data transformation techniques are of frequent use while evaluating investigating weed count data. Even after having its criticism, data transformation still remains as a very popular technique because the reasons for its use are quite greater than its non-use. Depending on the functional relationship existing between mean and variance of the weed count data, suitable transformations like logarithmic, square root and angular, should be used.

Authors and Affiliations

PRITHWIRAJ DEY, Pramit Pandit

Keywords

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  • EP ID EP615310
  • DOI 10.26655/JRWEEDSCI.2020.1.8
  • Views 127
  • Downloads 0

How To Cite

PRITHWIRAJ DEY, Pramit Pandit (2020). Relevance of Data Transformation Techniques in Weed Science. Journal of Research in Weed Science, 3(1), 81-89. https://europub.co.uk/articles/-A-615310