eprintid: 37201
rev_number: 10
eprint_status: archive
userid: 12259
dir: disk0/00/03/72/01
datestamp: 2020-01-03 02:56:00
lastmod: 2020-01-03 02:56:00
status_changed: 2020-01-03 02:56:00
type: thesis
metadata_visibility: show
creators_name: KARINA SAGITA, NIM. 15610049
title: ESTIMASI PARAMETER REGRESI LOGISTIK MULTINOMIAL
MENGGUNAKAN METODE MAKSIMUM LIKELIHOOD
ispublished: pub
subjects: Matematika
divisions: jur_mat
full_text_status: restricted
keywords: Maximum Likelihood, Multinomial Logistic Regression, Newton
Rhapson, Tuberculosis.
note: Moh. Farhan Qudratullah , M.Sc
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(
date: 2019-08-26
date_type: published
pages: 119
institution: UNIVERSITAS ISLAM NEGERI SUNAN KALIJAGA YOGYAKARTA
department: FAKULTAS SAIN DAN TEKNOLOGI
thesis_type: skripsi
thesis_name: other
citation:   KARINA SAGITA, NIM. 15610049  (2019) ESTIMASI PARAMETER REGRESI LOGISTIK MULTINOMIAL MENGGUNAKAN METODE MAKSIMUM LIKELIHOOD.  Skripsi thesis, UNIVERSITAS ISLAM NEGERI SUNAN KALIJAGA YOGYAKARTA.   
document_url: https://digilib.uin-suka.ac.id/id/eprint/37201/1/15610049_BAB-I_BAB-VI_DAFTAR-PUSTAKA_CV.pdf
document_url: https://digilib.uin-suka.ac.id/id/eprint/37201/2/15610049_BAB-II_sampai_BAB-V.pdf