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Foundations of O.R: Statistical Methods in O.R.: Multivariate Models (London)

 
         
  Ref. 421  
  Maureen Meadows
  12 September 2016, London
  £575 + VAT Members
  £625 + VAT Non-members
         

 

   
   Foundation NA
   Descriptive
   Predictive
   Prescriptive
 


GORS London Courses

The purpose of the series of ‘Foundations of O.R.’ courses is to help practitioners to understand the role of Operational Research in management; understand the requirements for successful Operational Research interventions; have knowledge of a range of Operational Research techniques; be able to identify the suitability of a technique for a problem situation and be able to apply those techniques.

Civil Servants / Members of the Government O.R. Service need to book these courses through the Civil Service Learning portal. (Go to http://bit.ly/1PrGBSB)

Foundations of O.R: Statistical Methods in O.R.: Multivariate Models

The purpose of this day is to develop an understanding of some common multivariate statistical techniques which can be of value to the O.R. practitioner. The day will be taught with a combination of short introductions to the methods in question, followed by hand-on sessions using an appropriate software package.

The objectives for the day are to:

  • Consider how to prepare a dataset for multivariate analysis
  • Know what the a number of multivariate methods (listed below) are, and when they might be applied
  • Understand the assumptions underpinning those methods, and their data requirements
  • Know how to apply those methods using appropriate software packages
  • Consider the common pitfalls of their application

The topics covered during the day are:

  • Preparing a multivariate dataset for analysis
  • Principal Components Analysis
  • Factor Analysis
  • Cluster Analysis
  • Discriminant Analysis

THERE IS NO PRE-READING FOR THIS COURSE

Timetable:

09.00 - 10.30   Introduction to multivariate data:
                         • overview of types of data
                         • data cleaning (e.g. missing values and outliers)
                         • overview of available methods;

10.30 - 11.00   Break

11.00 - 13.00   Methods for reducing the number of variables: PCA and Factor Analysis
                         Exercise: Factor Analysis

13.00 - 14.00   Lunch

14.00 - 15.00   Methods for identifying and distinguishing groups within a set of data:
                        Cluster Analysis and Discriminant Analysis

15.00 - 15.30   Break

15.30 - 17.00   Exercise: Cluster Analysis and Discriminant Analysis

Course Tutor

Maureen Meadows is a Senior Lecturer in Management, and Head of the Department for Strategy and Marketing at the Open University Business School, as well as an Associate Fellow at Warwick Business School. Prior posts include a lectureship in Operational Research at Warwick Business School, and roles in operational research and marketing strategy (including market segmentation and delivery strategy) at National Westminster Bank. She holds a B. A. (Hons) in Mathematics from the University of Oxford, and an MSc Management Science and Operational Research from the University of Warwick. Her research interests include market segmentation and relationship marketing in the personal financial services sector, and the use of methods and tools such as visioning and scenario planning to support strategy development. Maureen chairs the Special Interest Group in strategy at the British Academy of Management (BAM), and is a member of BAM Council.

If you are interested in further information, have any requirements (e.g. an alternative course date), or have difficulty booking a course online then please contact Jennie Phelps. It is recommended that courses are booked online. If this is not possible, then please print off, fill and fax or post the Training Course Booking Form.

 
Jennie Phelps   Address:  The OR Society, Seymour House, 12 Edward Street, Birmingham, B1 2RX, UK
  Tel: +44 (0)121 233 9300
  Fax: +44 (0)121 233 0321
  Email: jennie.phelps@theorsociety.com