CD Skripsi

Estimator Generalized Least Square Untuk Seemingly Unrelated Regression Pada Kasus Indeks Pembangunan Manusia Di Sumatera

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Sumatera is one of the largest islands in Indonesia, and it consists of 10 provinces.
Based on data from Badan Pusat Statistik the Human Development Index (HDI)
in Indonesia, all provinces on the island of Sumatera have high HDI rates. This
study aims to analyze and determine the factors that influence the HDI rate in
Province of Sumatera island. Factors thought to be influential are the percentage
of poor population (PPM), the level of open unemployment (TPT), literacy rate
(AMH) and Gini Ratio. Based on the results of the analysis by comparing the
results of Seemingly Unrelated Regression (SUR) estimation of Generalized Least
Square (GLS) and also Ordinary Least Square (OLS), it’s concluded that the SUR
estimation results with GLS estimate produce a more efficient equation with
smaller error. The results of GLS estimation produce a greater coefficient of
determination, which is 99.99%, while OLS estimation is 98.86%.
Keywords: Human development index, seemingly unrelated regression, ordinary
least square, generalized least square.

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

03 06. 121 (0035)

Penerbit

Pekanbaru : Universitas Riau – FMIPA – STATISTIKA Universitas Riau – FMIPA – STATISTIKA., 2021

Deskripsi Fisik

xiii, 47 hlm.: ill.: 29 cm

Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

03 06. 121 (0035)

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

STATISTIKA

Info Detail Spesifik

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Pernyataan Tanggungjawab

ELFITRA

Versi lain/terkait

Lampiran Berkas

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