Statistics > TEST BANK > Rencher A C Methods of multivariate LATEST EDITION 2021/2022 (All)
Introduction 1 1.1 Why Multivariate Analysis?, 1 1.2 Prerequisites, 3 1.3 Objectives, 3 1.4 Basic Types of Data and Analysis, 3 2. Matrix Algebra 5 2.1 Introduction, 5 2.2 Notation and Basic De... finitions, 5 2.2.1 Matrices, Vectors, and Scalars, 5 2.2.2 Equality of Vectors and Matrices, 7 2.2.3 Transpose and Symmetric Matrices, 7 2.2.4 Special Matrices, 8 2.3 Operations, 9 2.3.1 Summation and Product Notation, 9 2.3.2 Addition of Matrices and Vectors, 10 2.3.3 Multiplication of Matrices and Vectors, 11 2.4 Partitioned Matrices, 20 2.5 Rank, 22 2.6 Inverse, 23 2.7 Positive Definite Matrices, 25 2.8 Determinants, 26 2.9 Trace, 30 2.10 Orthogonal Vectors and Matrices, 31 2.11 Eigenvalues and Eigenvectors, 32 2.11.1 Definition, 32 2.11.2 I + A and I − A, 33 2.11.3 tr(A) and |A|, 34 2.11.4 Positive Definite and Semidefinite Matrices, 34 2.11.5 The Product AB, 35 2.11.6 Symmetric Matrix, 35 [Show More]
Last updated: 2 years ago
Preview 1 out of 732 pages
Buy this document to get the full access instantly
Instant Download Access after purchase
Buy NowInstant download
We Accept:
Can't find what you want? Try our AI powered Search
Connected school, study & course
About the document
Uploaded On
Aug 12, 2021
Number of pages
732
Written in
This document has been written for:
Uploaded
Aug 12, 2021
Downloads
0
Views
98
In Scholarfriends, a student can earn by offering help to other student. Students can help other students with materials by upploading their notes and earn money.
We're available through e-mail, Twitter, Facebook, and live chat.
FAQ
Questions? Leave a message!
Copyright © Scholarfriends · High quality services·