Volume 2, Issue 6, November 2013, Page: 221-227
Estimating the Fisher’s Scoring Matrix Formula from Logistic Model
Okeh UM, Department of Industrial Mathematics and Applied Statistics, Ebonyi State University Abakaliki, Nigeria
Oyeka I. C. A., Department of Applied Statistics, Nnamdi Azikiwe University, Awka Nigeria
Received: Oct. 21, 2013;       Published: Nov. 20, 2013
DOI: 10.11648/j.ajtas.20130206.19      View  3103      Downloads  253
This paper proposes a matrix approach to estimating parameters of logistic regression with a view to estimating the effects of risk factors of gestational diabetic mellitus (GDM). The proposed method of maximum likelihood estimation (MLE) unlike other methods of estimating parameters of non-linear regression is simpler and convergence of parameters is quicker. The odds ratio obtained from the logistic regression were used to interpret the effects of these risk factors on GDM where obesity and F.H as risk factors, were positively associated with GDM. The proposed method was seen to compare favorably with other known methods.
GDM, Logistic Regression, Dichotomous, Fisher Scoring, Newton-Raphson, Risk factors
To cite this article
Okeh UM, Oyeka I. C. A., Estimating the Fisher’s Scoring Matrix Formula from Logistic Model, American Journal of Theoretical and Applied Statistics. Vol. 2, No. 6, 2013, pp. 221-227. doi: 10.11648/j.ajtas.20130206.19
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