Analisis Multivariat (A)
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Course data
CPL dan CPMK
Announcements
Section 1
Materi-1
Materi-2
Section 2
Uji Mean Multivariat & Asumsi-Preprocessing
Materi-3
Section 3
Pengelompokan Variabel (Reduksi Dimensi)
Section 5
Materi-4
Section 6
Tugas-1 (Word dan PPT dikumpulkan perwakilan kelompok)
Tugas 2 (Word dan PPT dikumpulkan perwakilan kelompok)
Section 7
Materi-5
Presentasi Tugas Resume
Section 8
ETS
Post Mid-term Exam
Slide from the Book "Applied Multivariate Statistical Analysis", 4th ed. 2015 Edition by by Wolfgang Karl Härdle & Léopold Simar (Authors)
Lecture 9 Correspondence Analysis
Correspondence Analysis - slide
Lecture 10 Canonical Correlation
MVAcancarm.r
carmean2.txt
MANOVA and Canonical Correlation
Anscombe.R
Lecture 11 Multidimensional Scaling & Conjoint Analysis
carmean2.txt
MVAmdscarm.R
MVAMDSnonmstart.R
MVAMDSpooladj.R
MVAcarrankings.r
Lecture 12 Structural Equation Modeling
SEM (slide)
SEM for Dummies
SEM using R (lavan package)
SEM using R (sem package)
SEM using SPSS and AMOS
PLS-SEM dengan WarpPLS
The Causal Foundations of SEM
Simultaneous Equation Model and Structural Equation
Lecture 13 Advanced Methods (Clustering)
Short review of Clustering
Clustering in Time Series
Analisis Cluster untuk Data Time Series
reference 1 - Time-Series Clustering in R Using the dtwclust Package (the R Journal)
reference 2 - Comparing time series clustering algorithms in R using dtwclust package
reference 3 - Computing and Visualizing Dynamic Time Warping Alignments in R - The dtw Package (Journal of Stat Soft)
reference 4 - TSclust - An R package for time series forecasting (Journal of Stat Soft)
A Comprehensive Survey of Clustering Algorithms
Mutual Information-Based Variable Selection on Latent Class Cluster Analysis
Lecture 14 Advanced Methods for Prediction (Classification/Regression)
OCC - taxonomy of study and review of techniques
Novelty detection - a review—part 1 statistical approaches
Novelty detection - a review—part 2 NN based approaches
Some source of one-class classification (novelty detection) using R
OCC - a survey
Lecture 15
Project setelah ETS. Batas akhir pengumpulan tanggal 11 Desember 2022 pukul 15:00 WIB
Next
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Panduan Dosen
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[Video] Panduan Membuat Video Asinkronus dengan Power Point
Panduan Mahasiswa
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Analisis Multivariat (A)
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Institut Teknologi Sepuluh Nopember
Magister
Fakultas Sains dan Analitika Data
S-2 STATISTIKA
Semester Gasal 2022/2023
Analisis Multivariat (A)
Summary
Analisis Multivariat (A)
Teacher:
Dedy Dwi Prastyo
Teacher:
Santi Puteri Rahayu