mqahd2130  2019-2020  Mons

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.
6 credits
30.0 h
Q1
Teacher(s)
De Winne Rudy;
Language
French
Prerequisites
MQAHD1325 ' Management mathematics
MQAHD1327 ' Statistical methods in management
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
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)
GEHM2M
6