Karakteristik estimator Analisis Komponen Utama untuk mengestimasi Model Variabel Laten menggunakan metode High-Dimensional AIC

Lukman Lukman

Abstract


Makalah ini bertujuan untuk mengetahui sifat estimator Analisis Komponen Utama (AKU) untuk mengestimasi model variabel laten. Metode yang digunakan adalah metode High-Dimensional AIC (HAIC) dengan simulasi data berdistribusi Bernoulli. Tahapannya adalah: (1) menentukan matriks AKU; (2) membuat model estimator AKU untuk mengestimasi variabel laten dengan menggunakan HAIC; (3) mensimulasikan data distribusi Bernoulli dengan pengulangan 1.000.748 kali. Hasil simulasi menunjukkan model estimator AKU bekerja dengan baik.


Keywords


HAIC, Model Variabel Laten, PCA

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References


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DOI: https://doi.org/10.17509/jem.v9i1.33391

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