Multinomial Logistic Regression: Usage And Application In Risk Analysis
Journal Title: Journal of Applied Quantitative Methods - Year 2010, Vol 5, Issue 2
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. The relationship of independent and dependent variables was also addressed. The data used included a cohort of hundred risk analyst of a historically black South African University. In this analysis, the findings revealed that the probability of the model chi-square (17.142) was 0.005, less than the level of significance of 0.05 (i.e. p<0.05). Suggesting that there was a statistically significant relationship between the independent variable-risk planning (Rp) and the dependent variable-control mechanism (control mecs) (p<0.05). Also, there was a statistically significant relationship between key risks assigned (KSA) and time spent on risk mitigation. For each unit increase in confidence in control mecs, the odds of being in the group of survey respondents who thought institution spend too little time on Rp decreased by 74.7%. Moreover, the findings revealed that survey respondents who had less confidence in control mecs were less likely to be in the group of survey respondents who thought institution spent about the right amount of time on risk planning.
Authors and Affiliations
Anass BAYAGA
Keywords
Related Articles
- EP ID EP160674
- DOI -
- Views 106
- Downloads 0
Statistical Modeling of the Incidence of Breast Cancer in NWFP, Pakistan
Breast cancer is the most common form of cancer that affects women. It is a life threatening disease and the most common malignancy in women through out the world. In this study an effort has been made to determine the m...
Reliability Sampling Plans: A Review and some New Results
In this work we present a large area of aspects related to the problem of sampling inspection in the case of reliability. First we discuss the actual status of this domain, mentioning the newest approaches (from a techni...
Some Notes on the Logistic Distribution[sup][/sup]
In this paper we study some properties of the density function f (x;θ ) =θ ⋅ e[sup]−x[/sup] (1+ e[sup]−x[/sup] )−[sup](θ +1)[/sup] , x ∈ R,θ > 0 which may be obtained from the distribution of the last order statistic...
Optimal Redundancy Allocation for Information Management Systems
Reliability allocation requires defining reliability objectives for individual subsystems in order to meet the ultimate goal of reliability. Individual reliability objectives set for software development must lead to an...
Ten Tips for Promoting Autonomous Learning and Effective Engagement in the Teaching of Statistics to Undergraduate Medical Students Involved in Short-Term Research Projects
This article seeks to present some of the key challenges in facilitating autonomous learning and effective engagement in the teaching of statistics to undergraduate medical students involved in short-term research projec...