In this project, we gather reproduction attempts from the Challenger
study. In particular, we try to reperform some of the analysis
provided in /Risk Analysis of the Space Shuttle: Pre-Challenger
Prediction of Failure/ by /Siddhartha R. Dalal, Edward B. Fowlkes,
Bruce Hoadley/ published in /Journal of the American Statistical
Association/, Vol. 84, No. 408 (Dec., 1989), pp. 945-957 and available
at [[https://studies2.hec.fr/jahia/webdav/site/hec/shared/sites/czellarv/acces_anonyme/OringJASA_1989.pdf][here]] (here is [[http://www.jstor.org/stable/2290069][the official JASA webpage]]).
On the fourth page of this article, they indicate that the maximum
likelihood estimates of the logistic regression using only temperature
are: $`\hat{\alpha}=5.085`$ and $`\hat{\beta}=-0.1156`$ and their
asymptotic standard errors are $`s_{\hat{\alpha}}=3.052`$ and
$s_{\hat{\beta}}=0.047`$. The Goodness of fit indicated for this model
was $`G^{2}=18.086`$ with 21 degrees of freedom. Our goal is to reproduce
the computation behind these values and the Figure 4 of this article,
possibly in a nicer looking way.
#+BEGIN_CENTER
*[[file:challenger.pdf][Here is our successful replication of Dalal et al. results using R]]*.
#+END_CENTER
1. Try to *replicate the computation* from Dalal et al. In case it
helps, we provide you with two implementations of this case study
but we encourage you to *reimplement them by yourself* using both
your favourite language and an other language you do not know yet.
- A [[file:src/Python3/challenger.ipynb][Jupyter Python3 notebook]]
- An [[file:src/R/challenger.Rmd][Rmarkdown document]]
2. Then *update the [[file:results.org][meta-study result table available here]] with your
Update the following table with your own results by indicating in each
column:
- Language: R, Python3, Julia, Perl, C, ...
- Language version:
- Main libraries: please indicate the versions of all the loaded libraries
- Operating System: Linux, Mac OS X, Windows, Android, ... along with its version
- $\hat{\alpha}$ and $\hat{\\beta}: Identical, Similar, Different, Non
functional (expected values are $5.085$ and $-0.1156$)
- $s_{\hat{\alpha}}$ and $s_{\hat{\\beta}}: Identical, Similar, Different, Non
functional (expected values are $3.052$ and $0.047$)
- $G^2$ and degree of freedom: Identical, Similar, Different, Non
functional (expected values are $18.086$ and $21$).
- Figure: Similar, Different, Non functional
- Confidence region: Similar, Different, Non functional
| Language | Language version | Main libraries | Operating System | $\hat{\alpha}$ and $\hat{\\beta}$ | $s_{\hat{\alpha}$ and $s_{\hat{\beta}$ | $G^{2}$ | Figure | Confidence Region | Link to the document |
