Analisis Regresi Komponen Utama Robust dengan Metode Minimum Covariance Determinant–Least Trimmed Square (MCD-LTS)

SDA Larasati - 2019 - digilib.unila.ac.id
Principal Component Regression (PCR) is a method used to overcome multicollinearity
problems by reducing the dimensions of independent variables so that new simpler …

FUNGSI HIPERGEOMETRI DARI DISTRIBUSI GENERALIZED F

SA SARI - 2019 - digilib.unila.ac.id
Ordinary differential equations (PDB) are equations involving one or more functions and
their derivatives with respect to a free variable. Differential equations with variable …

[引用][C] Analisis Ketegaran Regresi Robust Terhadap Letak Pencilan: Studi Perbandingan

N Herawati - Bulletin of Mathematics, 2010

[引用][C] PERBANDINGAN MVE-BOOTSTRAP DAN MCD-BOOTSTRAP DALAMANALISIS REGRESI LINEAR BERGANDA PADA DATA BERUKURAN KECIL YANG …

A Pandu, K Nisa - 2018

[引用][C] Analisis Regresi Komponen Utama Robust untuk Data Mengandung Pencilan

K Nisa - J. Sains MIPA, 2008

[引用][C] ANALISIS REGRESI KOMPONEN UTAMA ROBUST DENGAN METODE MINIMUM COVARIANCE DETERMINANT–LEAST TRIMMED SQUARE (MCD-LTS)

K Nisa, SDA Larasati, E Setiawan - 2019

[引用][C] ANALISIS REGRESI KOMPONEN UTAMA ROBUST UNTUK DATA MENGANDUNG PENCILAN

N Notiragayu, K Nisa - Jurnal Sains MIPA Universitas Lampung, 2012