SIFAT-SIFAT ASIMTOTIK ESTIMATOR MAKSIMUM LIKELIHOOD PADA MODEL REGRESI LOGISTIK DIKOTOMUS. (Studi Kasus: Status Penyakit Serangan Jantung R.S. Panti Rapih, Yogyakarta)

• Main Authors: , AMERICO SAUL, , Prof. Drs. Subanar, Ph.D
• Format: Theses and Dissertations NonPeerReviewed
• Published: [Yogyakarta] : Universitas Gadjah Mada 2013
• Subjects: ETD
• Online Access: https://repository.ugm.ac.id/120038/; http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=60045
• Institution: Universitas Gadjah Mada

This thesis investigates the consistency and asymptotic normality of the maximum likelihood estimator in dichotomous logistic regression models. The consistency is proved under hypotheses which allow the number of exogenous variables p to grow along with the sample size �. Conditions on the interdependence of � and n necessary for the consistency of the estimator are established. The asymptotic normality is proved in the case where � is constant. Some aspects on the motivation and the origins of the model are presented at the beginning. Finally , a short example based on a medical study outlines the application of the logistic regression model. Heart disease is one of the deadly disease with a high presenstase. For that needs to be addressed so as to reduce deaths from the disease. Based on this research to obtain the factors that cause heart attacks. In this study, the cause of coronary heart disease is divided into three factors including, cholesterol, blood sugar and cigarettes.