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Bahasa Indonesia Untuk Perguruan Tinggi Substansi Kajian Dan Penerapannya

Media Sosial Interaksi, Identitas Dan Modal Sosial

Pendidikan Agama Islam

  • ISBN 13 : 9786020935515
  • Judul : Pendidikan Agama Islam
  • Pengarang : Dr. H. Otong Surasman, M.A,  
  • Penerbit : Erlangga
  • Klasifikasi : 297.07 SUR p
  • Call Number : 297.07 SUR p DR. p
  • Bahasa : Indonesia
  • Penaklikan : xii, 228 hlm.; 23 cm
  • Tahun : 2016
  • Halaman : 228
  • Ketersediaan :
    2021-05296-0006
    Tersedia di Perpustakaan Universitas Pelita Bangsa
    2021-05296-0005
    Tersedia di Perpustakaan Universitas Pelita Bangsa
    2021-05215-0004
    Tersedia di Perpustakaan Universitas Pelita Bangsa
    2021-05215-0003
    Tersedia di Perpustakaan Universitas Pelita Bangsa
    2021-05215-0002
    Tersedia di Perpustakaan Universitas Pelita Bangsa
    2021-05215-0001
    Tersedia di Perpustakaan Universitas Pelita Bangsa

Statistika Deskriptif Untuk Penelitian Dilengkapi Perhitungan Manual Dan Aplikasi SPSS Versi 17

Manajemen Keuangan Perusahaan Konsep Aplikasi Dalam: Perencanaan, Pengawasan, Dan Pengambilan Keputusan

Pemimpin Dan Kepemimpinan

Materi Terbuka Kesadaran Pajak Untuk Perguruan Tinggi

Matrix-Based Introduction to Multivariate Data Analysis

This book enables readers who may not be familiar with matrices to understand a variety of multivariate analysis procedures in matrix forms. Another feature of the book is that it emphasizes what model underlies a procedure and what objective function is optimized for fitting the model to data. The author believes that the matrix-based learning of such models and objective functions is the fastest way to comprehend multivariate data analysis. The text is arranged so that readers can intuitively capture the purposes for which multivariate analysis procedures are utilized: plain explanations of the purposes with numerical examples precede mathematical descriptions in almost every chapter. This volume is appropriate for undergraduate students who already have studied introductory statistics. Graduate students and researchers who are not familiar with matrix-intensive formulations of multivariate data analysis will also find the book useful, as it is based on modern matrix formulations with a special emphasis on singular value decomposition among theorems in matrix algebra. The book begins with an explanation of fundamental matrix operations and the matrix expressions of elementary statistics, followed by the introduction of popular multivariate procedures with advancing levels of matrix algebra chapter by chapter. This organization of the book allows readers without knowledge of matrices to deepen their understanding of multivariate data analysis.

This book enables readers who may not be familiar with matrices to understand a variety of multivariate analysis procedures in matrix forms.