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MULTINOMIAL LOGISTIC REGRESSION: USAGE …
Quantitative Methods Inquires 288 MULTINOMIAL LOGISTIC regression : USAGE AND APPLICATION IN RISK ANALYSIS Anass BAYAGA School of Initial Teacher Education (SITE), Faculty of Education, University of Fort Hare, South Africa E-mail: Abstract: The objective of the article was to explore the USAGE of MULTINOMIAL LOGISTIC regression (MLR) in risk analysis. In this regard, performing MLR on risk analysis data corrected for the non-linear nature of binary response and did address the violation of equal variance and normality assumptions. Additionally, use of maximum likelihood (-2log) estimation provided a means of working with binary response data.
Quantitative Methods Inquires 288 MULTINOMIAL LOGISTIC REGRESSION: USAGE AND APPLICATION IN RISK ANALYSIS Anass BAYAGA School of Initial Teacher Education (SITE), Faculty of Education,
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