Comparing Distributions
Olivier Thas (auth.)
Provides a self-contained comprehensive treatment of both one-sample and K-sample goodness-of-fit methods by linking them to a common theory backbone Contains many data examples, including R-code and a specific R-package for comparing distributions Emphesises informative statistical analysis rather than plain statistical hypothesis testing
Categorie:
Anno:
2010
Edizione:
1
Casa editrice:
Springer-Verlag New York
Lingua:
english
Pagine:
354
ISBN 10:
0387927107
ISBN 13:
9780387927107
Collana:
Springer Series in Statistics
File:
PDF, 3.03 MB
IPFS:
,
english, 2010
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