Le cours de statistique a repris cette semaine. Parmi les références qui peuvent être utiles (certains ouvrages sont disponibles en pdf, mais il semble illégal de pointer vers les pdf)
- Introduction to Mathematical Statistics, Hoggs & Craig
- Statistical Inference, Casella & Berger
J’en profite pour mettre en ligne une série d’exercices de proba. Ce sont des QCM, et je n’ai pas mis les réponses. Mais si vous bloquez sur un exercice, dites le moi, on le fera en cours. La semaine prochaine, on prévoira deux heures pour faire quelques exercices.
OpenEdition suggests that you cite this post as follows:
Arthur Charpentier (September 13, 2016). Reprise du cours de Statistique. Freakonometrics. Retrieved October 9, 2026 from https://doi.org/10.58079/ov4n
It’s interesting that you advise books that does hypothesis testing while it seems to not liked among all statisticians (i.e. http://andrewgelman.com/2016/09/10/my-talk-at-warwick-england-230pm-thurs-15-sept)
that’s a good point…. probably because those are very classical book on inference and testing. I do not like (trust?) ‘standard’ hypothesis testing, so I know that I do not teach it well… at least, they can find material in those books. I agree with Andrew, testing is much easier to understand when you go bayesian…. But that’s for the last week of the course !
I personally like Intoduction to probability by Joseph K. Blitzstein and Jessica Hwang (https://www.amazon.com/Introduction-Probability-Chapman-Statistical-Science/dp/1466575573).
However, as any book it teaches different things, depends on taste and that might not fit with your class. It is also a nice introduction to R in my opinion.
Good luck with your course :-).