Note from June 29, 2020
Although we do not yet know how long the social distancing related to the Covid-19 pandemic will last, and regardless of the changes that had to be made in the evaluation of the June 2020 session in relation to what is provided for in this learning unit description, new learnig unit evaluation methods may still be adopted by the teachers; details of these methods have been - or will be - communicated to the students by the teachers, as soon as possible.
Although we do not yet know how long the social distancing related to the Covid-19 pandemic will last, and regardless of the changes that had to be made in the evaluation of the June 2020 session in relation to what is provided for in this learning unit description, new learnig unit evaluation methods may still be adopted by the teachers; details of these methods have been - or will be - communicated to the students by the teachers, as soon as possible.
5 credits
30.0 h + 15.0 h
Q2
Teacher(s)
Colling Benjamin; El Ghouch Anouar;
Language
French
Bibliography
- Syllabus sous format d'un recueil de transparents vus au cours.
- Lehmann, E.L. (1999). Elements of Large-Sample Theory. ISBN-13: 9780387985954.
- Casella, G. et Berger, R.L.. (2012). Statistical Inference. ISBN-13: 9780534243128.
- Knight, K. (1999). Mathematical Statistics. ISBN-13: 9781584881780
- Keener, R.W. (2010). Theoretical Statistics: Topics for a Core Course. ISBN-13: 9780387938387.
Teaching materials
- transparents sur moodle
Faculty or entity
LSBA
Programmes / formations proposant cette unité d'enseignement (UE)
Title of the programme
Sigle
Credits
Prerequisites
Aims
Master [120] in Biomedical Engineering
Master [120] in Mathematics
Master [120] in Mathematical Engineering
Master [120] in Statistic: Biostatistics
Certificat d'université : Statistique et sciences des données (15/30 crédits)
Master [120] in Statistic: General