Elements of probability and statistics

lstat2010b  2017-2018  Louvain-la-Neuve

Elements of probability and statistics
6 credits
30.0 h + 30.0 h
Q1
Teacher(s)
de Lannoy Gaël; Desmet Lieven;
Language
French
Main themes
PART I : Mathematics : Analysis of functions, limits, continuity, derivatives, integrals, matrix algebra. Part II : Probability : Event, probability and conditional probability, Bayes theorem, discrete and continuous random variables, particular laws, density function, distribution function, moments, random vector, limit theorems. PART III : Statistics : Point estimation, confidence interval and hypothesis testing with application to the case of normal population(s) or proportions.
Aims

At the end of this learning unit, the student is able to :

1 By the end of the course, the student will be familiar with the basis of mathematics, probability and statistics, necessary to start the courses of methodology and practice of statistics of the program.
 

The contribution of this Teaching Unit to the development and command of the skills and learning outcomes of the programme(s) can be accessed at the end of this sheet, in the section entitled “Programmes/courses offering this Teaching Unit”.
Content
Content PART I : Mathematics : Analysis of functions, limits, continuity, derivatives, integrals, matrix algebra. Part II : Probability : Event, probability and conditional probability, Bayes theorem, discrete and continuous random variables, particular laws, density function, distribution function, moments, random vector, limit theorems. PART III : Statistics : Point estimation, confidence interval and hypothesis testing with application to the case of normal population(s) or proportions. Teaching methods The course consists of lectures and exercise sessions.
Other information
Evaluation The evaluation consists of a written exam. Teaching materials The course notes will be distributed during the first lecture of the course. Others Professors : - Johan Segers, phone : 010/47 43 11, e-mail : lambert@stat.ucl.ac.be - Ingrid Van Keilegom, phone : 010/47 43 30, e-mail : vankeilegom@stat.ucl.ac.be References : Dowling, E.T. (1995), Mathématique pour l'économiste, McGraw-Hill, London. Droesbeke, J.-J. (1997). Eléments de Statistique. Editions de l'Université de Bruxelles & Editions Ellipses. Khuri, A (1993), Advanced calculus with applications in statistics, Wiley, New York. Wackerly D.D., Mendenhall W. and R.L. Scheaffer 5th Ed (1996) Mathematical Statistics with Applications, ITP, Duxbury Pres
Bibliography
  • Dowling, E.T. (1995). Mathématique pour l'économiste. McGraw-Hill, London.
  • Droesbeke, J.-J. (1997). Eléments de Statistique. Editions de l'Université de Bruxelles & Editions Ellipses.
  • Khuri, A (1993). Advanced calculus with applications in statistics, Wiley, New York.
  • Wackerly, D.D., Mendenhall, W. et Scheaffer, R.L. (1996). Mathematical Statistics with Applications, 5th Ed , ITP, Duxbury Press.
Faculty or entity
LSBA


Programmes / formations proposant cette unité d'enseignement (UE)

Title of the programme
Sigle
Credits
Prerequisites
Aims
Master [120] in data Science: Statistic