CAUCHY: Jurnal Matematika Murni dan Aplikasi
Vol 2, No 4 (2013): CAUCHY

Model Probit Spasial pada Faktor-Faktor yang Mempengaruhi Klasifikasi IPM di Pulau Jawa

Puspita, Feni Ira (Unknown)
Ratnasari, Vita (Unknown)
Purhadi, Purhadi (Unknown)



Article Info

Publish Date
15 May 2013

Abstract

Human pembagunan Index (HDI) is a composite index that includes three basic dimensions of human development is considered to reflect the status of the population's basic abilities of health, educational attainment, and purchasing power. Data IPM classified into four, namely low, lower middle, upper middle, and high. Therefore, determining the HDI can be done with the data probit regression approach. In the data found that there were similarities between the HDI value of geographically adjacent regions which resulted in the classification of the adjacent HDI same region. This is presumably due to the inter-regional dependency. This phenomenon is suspected because of the spatial dependencies can be described through spatial methods. From the explanation above, the HDI of data in this study are based on the spatial probit regression method are compared with the probit method. This study aims to assess the predictors for estimating parameters and testing parameters were applied to the data classification IPM in Java. MCMC is used as a method of estimating the parameters in the assessment. While the assessment test parameters used are 25% to 75% of the estimated parameters

Copyrights © 2013






Journal Info

Abbrev

Math

Publisher

Subject

Mathematics

Description

Jurnal CAUCHY secara berkala terbit dua (2) kali dalam setahun. Redaksi menerima tulisan ilmiah hasil penelitian, kajian kepustakaan, analisis dan pemecahan permasalahan di bidang Matematika (Aljabar, Analisis, Statistika, Komputasi, dan Terapan). Naskah yang diterima akan dikilas (review) oleh ...