Abstract
WE ARE SURROUNDED by data. How is multivariate data analysis different from more familiar univariate methods? This chapter provides a summary of most of the major topics covered in this book. We also want to provide advocacy for the multivariate methods developed.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
The thoughtful reader might argue this exercise does not make sense because there are only 50 states, and this census represents the values of the complete population. In other words, there is no uncertainty associated with these data because there is no larger population of states for us to sample from.
- 2.
This survey is funded by The Organization for Economic Co-operation and Development (OECD).
- 3.
Named for Dutch astronomer Gerard Peter Kuiper (rhymes with viper) 1905–1973.
- 4.
SAS is copyright © SAS Institute, Cary, NC.
- 5.
Briefly, a macro is a program to write a program.
- 6.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2022 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Zelterman, D. (2022). Introduction. In: Applied Multivariate Statistics with R. Statistics for Biology and Health. Springer, Cham. https://doi.org/10.1007/978-3-031-13005-2_1
Download citation
DOI: https://doi.org/10.1007/978-3-031-13005-2_1
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-13004-5
Online ISBN: 978-3-031-13005-2
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)