Università i Padova Dipartimento di Scienze Statistiche
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Alessandra Rosalba Brazzale
Associate Professor
Code & Data


Software and Datasets for

Applied Asymptotics

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 gzip-ed 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. R News, 5/1, 20-27.
  • Additional R routines and data sets to accompany the book are available free of charge. The fraser.reid package contains the fraser.reid function, and is available here as a gzip-ed 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 gzip-ed tar 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 Press, 2007.


NOTE:

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 .

ACKNOWLEDGMENTS:

We are grateful to Wei (Becky) Lin of the University of Toronto for her work in making the datasets available for the AA package.

 

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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