Type:
Volume:
23(2)
Pages:
online
Year:
2001
Publisher:
Teaching Statistics
URL:
http://www.psych.umn.edu/faculty/waller/classes/mult09/readings/boostrap.pdf
Abstract:
This article presents bootstrap methods for estimation, using simple arguments. minitab macros for implementing these methods are given
The CAUSE Research Group is supported in part by a member initiative grant from the American Statistical Association’s Section on Statistics and Data Science Education