Multi-response Regression Modeling for an Agricultural Experiment

Authors

  • Nawzad M. Ahmed Department of Statistics & Informatics, College of Administration & Economy, University of Sulaimani, Kurdistan Region – Iraq
  • Handren A. Taher Department of Statistics & computer, College of Commerce, University of Sulaimani, Kurdistan Region – F.R. Iraq

DOI:

https://doi.org/10.21928/juhd.v4n2y2018.pp46-52

Abstract

During building model process, it is difficult to construct a multiple regression model (MRM) while the response variable(Y) is proposed as a vector of (r.v), (Y1,Y2,Y3,…..,Yn) in an experiment. So that a single response (MRM) is not able to perform multi-response data (MRD) separately (one for each response), this is because of the linear dependency (LD) among responses, then (MRRM) which was proposed by (Len Beirman, & Freidman 1997) has better performance to detect effects and patterns for the factors, (Explanatory) (X1 , X2, X3 ,…..Xk )that are introduced to the (MRRM) system on the (r.v) altogether. This Study was applied (MRRM) on an agricultural experiment through (450m2) in west Sulaimani- Kurdistan Region-Iraq.

Author Biography

  • Nawzad M. Ahmed, Department of Statistics & Informatics, College of Administration & Economy, University of Sulaimani, Kurdistan Region – Iraq

    Department of Statistics & Informatics, College of Administration & Economy, University of Sulaimani. Department of Finance and Banking, College of Administration and Economics, University of Human Development Sulaimani, Kurdistan Region – Iraq

JUHD_V4_N2_2018

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Published

2018-06-30

Issue

Vol. 4 No. 2 (2018)

Section

Articles

How to Cite

Multi-response Regression Modeling for an Agricultural Experiment. (2018). Journal of University of Human Development, 4(2), 46-52. https://doi.org/10.21928/juhd.v4n2y2018.pp46-52

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