Estimasi Parameter Model Regresi Linier Berganda dengan Pendekatan Bayes Menggunakan Prior Pseudo

(Studi Kasus Indeks Pembangunan Manusia (IPM) di Kalimantan Timur)

  • Afryda Isgiarahmah1 Laboratorium Statistika Komputasi FMIPA Universitas Mulawarman
  • Rito Goejantoro Laboratorium Statistika Komputasi, FMIPA Universitas Mulawarman
  • Yuki Novia Nasution Laboratorium Matematika Komputasi, FMIPA Universitas Mulawarman

Abstract

The parameter estimation of a regression model can use the Ordinary Least Square (OLS) method which must fulfill the assumption of BLUE. Besides OLS, there is another method that can be used to estimate the regression parameters, namely the Bayes method. Parameter estimates using the OLS method and the Bayes method have been widely used in the field of development. One of them is on economic development, namely the Human Development Index (HDI). The purpose of this study is to know multiple linear regression models and interpretations that state the relationship between per capita expenditure, average length of school, life expectancy, and school length for the Human Development Index (HDI) with the Bayes approach using pseudo priors.

Published
2021-06-21
How to Cite
ISGIARAHMAH1, Afryda; GOEJANTORO, Rito; NASUTION, Yuki Novia. Estimasi Parameter Model Regresi Linier Berganda dengan Pendekatan Bayes Menggunakan Prior Pseudo. EKSPONENSIAL, [S.l.], v. 12, n. 1, p. 1-6, june 2021. ISSN 2085-7829. Available at: <http://jurnal.fmipa.unmul.ac.id/index.php/exponensial/article/view/753>. Date accessed: 25 sep. 2021.