mqahc2130  2017-2018  Charleroi

6 credits
30.0 h + 0.0 h
Q2
Teacher(s)
De Winne Rudy (compensates Petitjean Mikael); Petitjean Mikael;
Language
French
Main themes
Linear regression
  • Revision of the method of least squares applied to the estimate of the regression line;
  • Generalisation of the regression analysis in the multivariate case;
  • Properties of parameter estimators;
  • Formulation and logical test of hypothesis relating to parameters;
  • Linearisable multivariate models.
Aims

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

1

On completion of this course, students will be able:

in terms of knowledge:

  • to apply the principles and method of the multiple regression estimation models, both linear or linearised, to one or more explanatory variables.

in terms of skills:

  • to ask pertinent questions, from a managerial perspective, regarding a proposed case and the characteristics of available data;
  • to select the appropriate statistical approach and apply it;
  • to provide methodologically correct answers to the problem posed after disciplined interpretation of results both statistically and at a managerial level.
 

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”.
Teaching methods
  • Lectures
  • Exercises in the computer room (use of analysis tools in Excel).
  • Case analysis
Evaluation methods
Oral examination
Bibliography
  • GIARD V. (2003), Statistique appliquée à la Gestion, 8e éd., Economica.
  • JOHNSTON J., DINARDO J. (1999), Méthodes Econométriques, Economica, traduction de JOHNSTON J., DINARDO J. (1997), Econometric Methods, 2th ed. Mc Graw'Hill.
Faculty or entity
CLSM


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

Title of the programme
Sigle
Credits
Prerequisites
Aims
Master [120] in Management (shift schedule)
GEHC2M
6