PERBANDINGAN MODEL REGRESI LOGISTIK ORDINAL ANTARA MAXIMUM LIKELIHOOD ESTIMATION (MLE) DAN GENERALIZED METHOD OF MOMENT (GMM) UNTUK PREDIKSI TINGKAT BERAT BADAN LAHIR

• 主要作者: SRI EKA PURWANENGSI, 101414153050
• 格式: Theses and Dissertations NonPeerReviewed
• 語言: Indonesian; Indonesian
• 出版: 2016
• 主題: QA276-280 Mathematical Analysis
• 在線閱讀: http://repository.unair.ac.id/45475/13/217.%20ABSTRAK.pdf; http://repository.unair.ac.id/45475/19/TKM.11-16%20Pur%20p.pdf; http://repository.unair.ac.id/45475/; http://lib.unair.ac.id
• 機構: Universitas Airlangga

Maximum Likelihood Estimation (MLE) and Generalized Method of Moment (GMM) are method of estimation used in ordinal logistic regression model to determine the effect among variables without requiring assumptions. This method can be used to estimate parameters in health data. Birth weight is an in...