THE UNIVERSITY of EDINBURGH

DEGREE REGULATIONS & PROGRAMMES OF STUDY 2007/2008
- ARCHIVE for reference only
THIS PAGE IS OUT OF DATE

University Homepage
DRPS Homepage
DRPS Search
DRPS Contact
Home : College of Humanities and Social Science : Management School and Economics (Schedule H) : Economics

Quantitative Methods 1 (P01218)

? Credit Points : 20  ? SCQF Level : 11  ? Acronym : MSE-P-QME1

An introduction to the techniques of multivariate linear regression including the use of dummy variables, likelihood estimatio1n and solutoins to the problems of non sphericality and multicollinearity.

Entry Requirements

none

Subject Areas

Delivery Information

? Normal year taken : Postgraduate

? Delivery Period : Semester 1 (Blocks 1-2)

? Contact Teaching Time : 4 hour(s) per week for 10 weeks

All of the following classes

Type Day Start End Area
Lecture Thursday 10:00 12:00 Central
Lecture Thursday 14:00 15:50 Central

Summary of Intended Learning Outcomes

Knowledge and understanding of:- The general linear model, the properties of least squares estimators, the use of dummy variables and likelihood analysis and the generalised least squares estimator as a solution to non spherical regression errors.

Assessment Information

Class exam 20%, Degree exam 80%

Exam times

Diet Diet Month Paper Code Paper Name Length
1ST May 1 - 2 hour(s)

Contact and Further Information

The Course Secretary should be the first point of contact for all enquiries.

Course Secretary

Ms Kay Cruickshank
Tel : (0131 6)51 1764
Email : Kay.Cruickshank@ed.ac.uk

Course Organiser

Prof Andy Snell
Tel : (0131 6)50 3848
Email : a.j.snell@ed.ac.uk

School Website : http://www.man.ed.ac.uk/

College Website : http://www.hss.ed.ac.uk/

Navigation
Help & Information
Home
Introduction
Glossary
Search
Regulations
Regulations
Degree Programmes
Introduction
Browse DPTs
Courses
Introduction
Humanities and Social Science
Science and Engineering
Medicine and Veterinary Medicine
Other Information
Prospectuses
Important Information
Timetab
 
copyright 2007 The University of Edinburgh