KARINA SAGITA, NIM. 15610049 (2019) ESTIMASI PARAMETER REGRESI LOGISTIK MULTINOMIAL MENGGUNAKAN METODE MAKSIMUM LIKELIHOOD. Skripsi thesis, UNIVERSITAS ISLAM NEGERI SUNAN KALIJAGA YOGYAKARTA.
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Text (ESTIMASI PARAMETER REGRESI LOGISTIK MULTINOMIAL MENGGUNAKAN METODE MAKSIMUM LIKELIHOOD)
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Abstract
Logistic multinomial regression is a logistic regression analysis wich the dependent variable has a polychotomous or multinomialscale divided into two categories. The parameter estimation of the logistic multinomial regression model used Maximum Likelihood method and iteration Newton Raphson. The study use primary data from medical records of patients with a sample of 90 respondents. Tuberculosis inpatient patients at the Temanggug General Hospital are used as data for this study, consisting of three dependent variables namely Lung Tuberculosis (1), Bone Tuberculosis (2), Laryngitis Tuberculosis (3) and seven independent variables namely age(
Item Type: | Thesis (Skripsi) |
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Additional Information: | Moh. Farhan Qudratullah , M.Sc |
Uncontrolled Keywords: | Maximum Likelihood, Multinomial Logistic Regression, Newton Rhapson, Tuberculosis. |
Subjects: | Matematika |
Divisions: | Fakultas Sains dan Teknologi > Matematika (S1) |
Depositing User: | Drs. Mochammad Tantowi, M.Si. |
Date Deposited: | 03 Jan 2020 09:56 |
Last Modified: | 03 Jan 2020 09:56 |
URI: | http://digilib.uin-suka.ac.id/id/eprint/37201 |
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