Abstract Details
Activity Number:
|
246
|
Type:
|
Contributed
|
Date/Time:
|
Monday, August 4, 2014 : 2:00 PM to 3:50 PM
|
Sponsor:
|
Business and Economic Statistics Section
|
Abstract #312421
|
|
Title:
|
A Model for Characterizing Tender Behavior
|
Author(s):
|
Sollie Millard*+ and Frans H.J. Kanfer and Andriette Bekker and Mohammad Arashi
|
Companies:
|
University of Pretoria and University of Pretoria and University of Pretoria and Shahrood University
|
Keywords:
|
Bayesian inference ;
finite mixture model ;
tender behaviour
|
Abstract:
|
Government and other entities typically source external services on a tender basis. For a long time it was, and in many cases still is, standard practice to appoint the service provider based on purely the lowest price. Such an approach has several disadvantages. Tender behaviour is modelled by fitting appropriate distributions to the historical data, and using these models to select an appropriate service provider based on pricing that corresponds to a pre-specified percentile. In this presentation a finite mixture model is proposed for modelling the tender data, considering skewed distributions for the mixing components. Is this approach a promising alternative for the characterization of tender behaviour?
|
Authors who are presenting talks have a * after their name.
Back to the full JSM 2014 program
|
2014 JSM Online Program Home
For information, contact jsm@amstat.org or phone (888) 231-3473.
If you have questions about the Professional Development program, please contact the Education Department.
The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
Copyright © American Statistical Association.