relation: https://digilib.uin-suka.ac.id/id/eprint/37201/
title: ESTIMASI PARAMETER REGRESI LOGISTIK MULTINOMIAL  MENGGUNAKAN METODE MAKSIMUM LIKELIHOOD
creator: KARINA SAGITA, NIM. 15610049
subject: Matematika
description: 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
type: Thesis
type: NonPeerReviewed
format: text
language: id
identifier: https://digilib.uin-suka.ac.id/id/eprint/37201/1/15610049_BAB-I_BAB-VI_DAFTAR-PUSTAKA_CV.pdf
format: text
language: id
identifier: https://digilib.uin-suka.ac.id/id/eprint/37201/2/15610049_BAB-II_sampai_BAB-V.pdf
identifier:   KARINA SAGITA, NIM. 15610049  (2019) ESTIMASI PARAMETER REGRESI LOGISTIK MULTINOMIAL MENGGUNAKAN METODE MAKSIMUM LIKELIHOOD.  Skripsi thesis, UNIVERSITAS ISLAM NEGERI SUNAN KALIJAGA YOGYAKARTA.