Whatch why statistics is important to you!
Alessandra Rosalba Brazzale
Code & Data
Software and Datasets for
Case Studies in Small-Sample Statistics
by A. R. Brazzale, A. C. Davison and N. Reid
(Cambridge University Press, 2007)
- Download the packages of the former
hoa package bundle for the Open Source environment R.
The latest versions of the cond, marg, nlreg and csampling routines are available as a
tar ball, a
gzip-ed MacOS X binary and as a
zip-ed Windows binary. A short review is:
Brazzale, A.R. (2005).
hoa: An R package bundle for higher
order likelihood inference.
News, 5/1, 20-27.
Additional R routines and
data sets to accompany the book are available free of charge.
fraser.reid package contains the fraser.reid function, and is available here as a
tar ball, and here as a
zip-ed Windows binary. The data sets not available in the cond, marg and nlreg packages can be found in the
AA package, and can be downloaded from here as a
ball, and from here as a
zip-ed Windows binary.
Selected R code from
the book you can download: the examples and
case studies (to be updated) and the problems (to be updated). Note
that the contents of these files are copyright of Cambridge University
The R code presented in this page is the R code actually used to produce the Figures and Tables in the book. It was tested with the R version available while writing the book (2.4.0). There may be differences if the code is run with a more recent release, though we expect the differences to be mostly quite subtle.
The package bundle
hoa was removed from the CRAN repository. Formerly available versions can be obtained from the archive.
Any questions, comments or problems with the code should be
addressed to .
We are grateful to Wei (Becky) Lin of the University of Toronto for her work in making the datasets available for the
Last updated on November 30, 2011
"La poca familiarità con la statistica porta a confondere la probabilità con l’imprecisione. Al contrario, probabilità e statistica sono strumenti precisi, che ci permettono di rispondere in modo attendibile a domande precise. Senza di esse non avremmo l’efficacia della medicina moderna, la meccanica quantistica, le previsioni del tempo, la sociologia… Anzi, non avremmo l’intera scienza sperimentale, dalla chimica all’astronomia. Senza la statistica avremmo idee molto più vaghe su come funzionano gli atomi, le nostre società e le galassie. È stata la statistica, solo per fare un esempio, a permetterci di comprendere che fumare fa male e l’amianto uccide."
da "Sì, no, anzi: probabilmente" di Carlo Rovelli (Il Sole 24 ore – Domenica 20 gennaio 2013)
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