Code Context }
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'description' => '<div style="text-align: justify;">
Kemajuan teknologi informasi memungkinkan penggunaan metode statistik multivariat untuk mengolah data yang kompleks dan tidak dapat dilakukan oleh metode statistik `klasik` seperti uji t, Anova, dan lainnya.<br />
<br />
Buku ini merupakan revisi Buku Latihan Statistik Multivariat. Untuk memudahkan pemahaman materi, pada setiap topik disertai contoh kasus, cara mengolahnya dengan metode multivariat tertentu, serta analisis output yang dihasilkan. Ditujukan bagi para pengguna statistik yang ingin memproses data menggunakan metode statistik multivariat tertentu dengan tidak direpotkan oleh perhitungan manual statistik yang melelahkan, namun tetap ingin memperoleh output statistik yang akurat dan dapat dimengerti.</div>
<br />
<span style="font-weight: bold;">Pembahasan dalam buku mencakup:</span><br />
<br />
- Persiapan Awal Statistik Multivariat # Pemahaman Statistik Multivariat # Uji Kelayakan Data<br />
- Statistik Multivariat Dasar # Factor Analysis # Cluster Analysis # Discriminant Analysis # MANOVA # General Linear Model # Logistic Regression # Canonical Correlation # Conjoint Analysis<br />
- Statistik Multivariat dalam Grafik # Multidimensional Scaling (MDS) # Categorical Analysis (CA) ',
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'description_small' => '
Kemajuan teknologi informasi memungkinkan penggunaan metode statistik multivariat untuk mengolah data yang kompleks dan tidak dapat dilakukan oleh metode statistik `klasik` seperti uji t, Anova, dan lainnya.
Buku ini merupakan revisi Buku Latihan Statistik Multivariat. Untuk memudahkan pemahaman materi, pada setiap topik disertai contoh kasus, cara mengolahnya dengan metode multivariat tertentu, serta analisis output yang dihasilkan. Ditujukan bagi para pengguna statistik yang ingin ',
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Kemajuan teknologi informasi memungkinkan penggunaan metode statistik multivariat untuk mengolah data yang kompleks dan tidak dapat dilakukan oleh metode statistik `klasik` seperti uji t, Anova, dan lainnya.
Buku ini merupakan revisi Buku Latihan Statistik Multivariat. Untuk memudahkan pemahaman materi, pada setiap topik disertai contoh kasus, cara mengolahnya dengan metode multivariat tertentu, serta analisis output yang dihasilkan. Ditujukan bagi para pengguna statistik yang ingin memproses data menggunakan metode statistik multivariat tertentu dengan tidak direpotkan oleh perhitungan manual statistik yang melelahkan, namun tetap ingin memperoleh output statistik yang akurat dan dapat dimengerti.
Pembahasan dalam buku mencakup:
- Persiapan Awal Statistik Multivariat # Pemahaman Statistik Multivariat # Uji Kelayakan Data
- Statistik Multivariat Dasar # Factor Analysis # Cluster Analysis # Discriminant Analysis # MANOVA # General Linear Model # Logistic Regression # Canonical Correlation # Conjoint Analysis
- Statistik Multivariat dalam Grafik # Multidimensional Scaling (MDS) # Categorical Analysis (CA) ',
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Pembahasan dalam buku mencakup:
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- Statistik Multivariat dalam Grafik # Multidimensional Scaling (MDS) # Categorical Analysis (CA) ',
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- Statistik Multivariat Dasar # Factor Analysis # Cluster Analysis # Discriminant Analysis # MANOVA # General Linear Model # Logistic Regression # Canonical Correlation # Conjoint Analysis
- Statistik Multivariat dalam Grafik # Multidimensional Scaling (MDS) # Categorical Analysis (CA) '
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Buku ini membahas cara penggunaan program SPSS versi 15 dalam berbagai masalah statistik, serta beberapa fasilitas dan fitur baru yang tidak ada pada SPSS 14.
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'description_small' => 'Walaupun banyak keputusan di bidang manajemen lebih didasarkan pada art (seni dan pengalaman), namun tidak sedikit peran science ikut membantu pengambilan keputusan yang tepat. Kemajuan di bidang teknologi informasi telah mendorong peningkatan penggunaan komputer untuk pengolahan data pada banyak perusahaan.
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'description_small' => 'Bersama dengan statistik non parametrik, metode stastistik parametrik telah digunakan secara luas untuk menyelesaikan berbagai persoalan statistik di banyak bidang kehidupan. Kemajuan teknologi informasi memungkinkan pengolahan data statistik dalam jumlah besar menjadi mudah dan cepat. Buku inisebagai seri ketigamembahas penggunaan SPSS sebagai software statistik terpopuler di Indonesia dalam mengolah data statistik.Tidak diperlukan keahlian mengoperasikan SPSS ataupun pemahaman statistik ',
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'description_small' => 'Tidak semua data bisa diolah menggunakan metode Parametrik, oleh karena itulah sebagai alternatif dimungkinkan penggunaan metode Non Parametrik. Perkembangan software statistik yang pesat membuat penggunaan metode Non Parametrik semakin luas. Tetapi sayangnya buku yang khusus membahas aplikasi Statistik Non Parametrik masih jarang. Buku Seri Manajemen Berbasis TI: Statistik Non Parametrik ini diharapkan mampu meningkatkan penggunaan Statistik Non Parametrik di berbagai bidang.Penekanan materi ',
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'description_small' => 'Saat ini, banyak metode Statistik Multivariat diterapkan dalam berbagai bidang ilmu, khususnya saat melibatkan banyak variabel yang harus dikerjakan secara bersama dan tidak dapat ditangani dengan metode non parametrik ataupun parametrik. Perkembangan software statistik, khususnya SPSS, telah memungkinkan berbagai metode Statistik Multivariat yang dulu terlihat begitu kompleks, sekarang dapat dikerjakan secara praktis dan mudah.
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- Statistik Multivariat Dasar # Factor Analysis # Cluster Analysis # Discriminant Analysis # MANOVA # General Linear Model # Logistic Regression # Canonical Correlation # Conjoint Analysis<br />
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Kemajuan teknologi informasi memungkinkan penggunaan metode statistik multivariat untuk mengolah data yang kompleks dan tidak dapat dilakukan oleh metode statistik `klasik` seperti uji t, Anova, dan lainnya.
Buku ini merupakan revisi Buku Latihan Statistik Multivariat. Untuk memudahkan pemahaman materi, pada setiap topik disertai contoh kasus, cara mengolahnya dengan metode multivariat tertentu, serta analisis output yang dihasilkan. Ditujukan bagi para pengguna statistik yang ingin memproses data menggunakan metode statistik multivariat tertentu dengan tidak direpotkan oleh perhitungan manual statistik yang melelahkan, namun tetap ingin memperoleh output statistik yang akurat dan dapat dimengerti.
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- Statistik Multivariat Dasar # Factor Analysis # Cluster Analysis # Discriminant Analysis # MANOVA # General Linear Model # Logistic Regression # Canonical Correlation # Conjoint Analysis
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'twitter:title' => 'Aplikasi SPSS pd Statistik Multivariat+CD - Oleh: Singgih Santoso',
'twitter:description' => '
Kemajuan teknologi informasi memungkinkan penggunaan metode statistik multivariat untuk mengolah data yang kompleks dan tidak dapat dilakukan oleh metode statistik `klasik` seperti uji t, Anova, dan lainnya.
Buku ini merupakan revisi Buku Latihan Statistik Multivariat. Untuk memudahkan pemahaman materi, pada setiap topik disertai contoh kasus, cara mengolahnya dengan metode multivariat tertentu, serta analisis output yang dihasilkan. Ditujukan bagi para pengguna statistik yang ingin memproses data menggunakan metode statistik multivariat tertentu dengan tidak direpotkan oleh perhitungan manual statistik yang melelahkan, namun tetap ingin memperoleh output statistik yang akurat dan dapat dimengerti.
Pembahasan dalam buku mencakup:
- Persiapan Awal Statistik Multivariat # Pemahaman Statistik Multivariat # Uji Kelayakan Data
- Statistik Multivariat Dasar # Factor Analysis # Cluster Analysis # Discriminant Analysis # MANOVA # General Linear Model # Logistic Regression # Canonical Correlation # Conjoint Analysis
- Statistik Multivariat dalam Grafik # Multidimensional Scaling (MDS) # Categorical Analysis (CA) '
)
$title_for_layout = 'Aplikasi SPSS pd Statistik Multivariat+CD - BukaBuku.com - Toko Buku Online'
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