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Application of Factorial Experiments with Asymmetric Responses for Determine Important Factors Affecting on Production of Dates

In: New Approaches in Social and Humanistic Sciences

Author

Listed:
  • Kadhim Mohammed BAHR

    (The Bucharest University of Economic Studies, Department of Statistics and Econometrics, University of AL-Qadisiyah)

  • Meshal HARBI ODAH

    (The Bucharest University of Economic Studies, Department of Statistics and Econometrics, Muthanna University)

  • Ali Sadig Mohommed BAGER

    (The Bucharest University of Economic Studies, Department of Statistics and Econometrics, Muthanna University)

Abstract

The factorial of experiments assume that the response variable is a distributed one with normal distribution, thus, the dependence of the technique of analysis of variance (ANOVA), assumes the response variable are normally distributed. However, there are many situations where the response variable is non-normal. There are many methods that help us process this problem, the log transformation method for the responses due to the fact that distribution of this responses is non- normal. In this paper we are studying the most important factors affecting the production of the Iraqi dates using factorial experiments. The five factors have been described as the following: (Fertilizers, Dates Type, Number of times vaccinate, Watering the Palm, Pesticides) and each factor has two levels. The ways used to determinate the most important factors are the traditional methods (ANOVA) and adaptive Lasso method for determine important factors. We used program R to analyse the data.

Suggested Citation

  • Kadhim Mohammed BAHR & Meshal HARBI ODAH & Ali Sadig Mohommed BAGER, 2018. "Application of Factorial Experiments with Asymmetric Responses for Determine Important Factors Affecting on Production of Dates," Book chapters-LUMEN Proceedings, in: Veaceslav MANOLACHI & Cristian Mihail RUS & Svetlana RUSNAC (ed.), New Approaches in Social and Humanistic Sciences, edition 1, volume 3, chapter 5, pages 64-77, Editura Lumen.
    • Handle: RePEc:lum:prchap:03-05
    DOI: https://doi.org/10.18662/lumproc.nashs2017.5
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    References listed on IDEAS

    as
    1. Zou, Hui, 2006. "The Adaptive Lasso and Its Oracle Properties," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 1418-1429, December.
    2. Fan J. & Li R., 2001. "Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties," Journal of the American Statistical Association, American Statistical Association, vol. 96, pages 1348-1360, December.
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    More about this item

    Keywords

    Full Factorial Experiment; Adaptive lasso; Production of Dates;
    All these keywords.

    JEL classification:

    • A3 - General Economics and Teaching - - Multisubject Collective Works
    • I2 - Health, Education, and Welfare - - Education
    • I3 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty
    • M0 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - General

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