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MINITAB MACROS FOR RESAMPLING METHODS
Author(s) -
Butler Adam,
Rothery Peter,
Roy David
Publication year - 2003
Publication title -
teaching statistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.425
H-Index - 13
eISSN - 1467-9639
pISSN - 0141-982X
DOI - 10.1111/1467-9639.00111
Subject(s) - macro , resampling , computer science , statistics , set (abstract data type) , bootstrapping (finance) , statistical analysis , econometrics , mathematics , artificial intelligence , programming language
Summary This article describes a set of Minitab macros that perform randomization and bootstrap versions of basic statistical techniques, and suggests ways in which the macros might be used in teaching statistics.