CD Skripsi

Estimator Polinomial Lokal Untuk Pemodelan Harga Emas Di Indonesia Menggunakan Regresi Nonprametrik

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In this thesis discussed about the nonparametric regression model based on local polynomial estimators on gold prices in Indonesia. Local polynomial estimators can be obtained by minimizing Weighted Least Square (WLS), a local polynomial esimator that relies heavily on optimal bandwidth. Optimal bandwidth determination can be obtained using the Generalized Cross Validation (GCV) method. It is further applied to nonparametric regression models based on local polynomial estimators in the case of gold prices in Indonesia. Gold price modeling in Indonesia using local polynomial regression with Gaussian kernel function obtained optimal bandwidth of 10. The model produces a minimum GCV score of 854882843 with the optimum order of the local polynomial is order 4. The good measure of the model used is to look at the Mean Absolute Percentage Error (MAPE) value. Mape value in gold price analysis in Indonesia with MAPE value of 6.182%

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

1603137063

Penerbit

Pekanbaru : Universitas Riau – FMIPA – STATISTIKA., 2022

Deskripsi Fisik

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Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

1603137063

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

STATISTIK

Info Detail Spesifik

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Pernyataan Tanggungjawab

NADYA

Versi lain/terkait

Lampiran Berkas

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