@phdthesis{digilib37201,
           month = {August},
           title = {ESTIMASI PARAMETER REGRESI LOGISTIK MULTINOMIAL
MENGGUNAKAN METODE MAKSIMUM LIKELIHOOD},
          school = {UNIVERSITAS ISLAM NEGERI SUNAN KALIJAGA YOGYAKARTA},
          author = {NIM. 15610049 KARINA SAGITA},
            year = {2019},
            note = {Moh. Farhan Qudratullah , M.Sc},
        keywords = {Maximum Likelihood, Multinomial Logistic Regression, Newton
Rhapson, Tuberculosis.},
             url = {https://digilib.uin-suka.ac.id/id/eprint/37201/},
        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(}
}