TY  - CHAP
M1  - Book, Section
TI  - A Brief Introduction to Matrices and Vectors
A1  - Glantz, Stanton A.
A1  - Slinker, Bryan K.
A1  - Neilands, Torsten B.
Y1  - 2017
N1  - 
T2  - Primer of Applied Regression and Analysis of Variance, 3e
AB  - Modern  regression  and  related  methods  have  been  developed  using  notation  and  concepts  of  matrix  algebra.  Indeed,  many  of  the  underlying  theoretical  results  could  not  have  been  developed  without  matrix  algebra.  Although  we  have,  as  much  as  possible,  developed  most  of  the  concepts  in  this  book  without  resorting  to  matrix  notation,  some  of  the  more  advanced  topics  require  presenting  the  equations  in  matrix  notation.  In  addition,  most  of  the  results  associated  with  multiple  regression  and  related  topics  can  be  presented  more  compactly  and  simply  using  matrix  notation.  This  appendix  reviews  the  basic  definitions  and  notation  necessary  to  understand  the  use  of  matrices  in  this  book.  We  will  concentrate  on  notational,  as  opposed  to  computational  or  theoretical,  issues  because  computers  take  care  of  the  computations  and  there  are  many  excellent  books  on  the  theory  of  linear  algebra  for  those  who  would  like  to  understand  linear  algebra  in  more  detail.  
SN  - 
PB  - McGraw-Hill Education
CY  - New York, NY
Y2  - 2024/04/20
UR  - accessbiomedicalscience.mhmedical.com/content.aspx?aid=1141896887
ER  -