Abstract
Transformations find wide areas of application in the statistical sciences. It often seems advantageous to conduct an analysis on a transformed data set rather than on the original data set. Transformations are most often motivated by the need or desire to
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2007 Springer
About this chapter
Cite this chapter
Wolter, K.M. (2007). Transformations. In: Introduction to Variance Estimation. Statistics for Social and Behavioral Sciences. Springer, New York, NY. https://doi.org/10.1007/978-0-387-35099-8_12
Download citation
DOI: https://doi.org/10.1007/978-0-387-35099-8_12
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-32917-8
Online ISBN: 978-0-387-35099-8
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)