Design of Experiments for Eliciting Customer Preferences

Chapter

Abstract

In this chapter, the survey methods needed to elicit the customer preference data to estimate a DCA or OL model, are introduced. The survey methods are based upon established Design of Experiments methodologies, but adapted for the specific needs of stated preference experiments.

Keywords

Fatigue Covariance Expense Aliasing 

Nomenclature

A

Customer-desired product attributes

α

Pairwise correlation coefficient for multinomial covariance matrix

β

Choice model coefficient in customer’s utility function

B

Number of configurations given to a single respondent

Dn

Derivative of π i

det

Matrix determinant

E

Engineering Attributes

εin

Random unobservable part of the utility of configuration i for respondent n

f(x)

Extended experiment design point, including intercept/cutpoints, interaction, and higher ordered terms than x

f

PDF of the logistic distribution

F

CDF of the logistic distribution

F

Extended design matrix

G

Candidate set of design points

GLS

Generalized least squares (Regression)

i

A configuration

inv

Matrix inverse

k,kp

Ordered logit cutpoints

M

Number of configurations in a complete experimental design

M

Fisher information matrix of an experimental design

n

A block or respondent

OLS

Ordinary least squares (Regression)

P

Number of ordered ratings categories

P

Working correlation matrix

\( \pi_{inp} \)

Probability of rating p for respondent n and configuration i

R

Ratings

ρ

Pairwise ratings correlation coefficient

ρ2

Model fit statistic for ordered logit/probit model

σu

Variance at the respondent level

σε

Variance at the observation level

S

Human attributes

T

Number of tries conducted in the algorithm

uin

Utility of configuration i for respondent n in the ordered logit/probit equation

V

Asymptotic variance-covariance matrix

x

Design point for product and human factors. A sub-set of f(x)

X

Extended design matrix, composed of f(x)

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Copyright information

© Springer-Verlag London 2013

Authors and Affiliations

  • Wei Chen
    • 1
  • Christopher Hoyle
    • 2
  • Henk Jan Wassenaar
    • 3
  1. 1.Department of Mechanical EngineeringNorthwestern UniversityEvanstonUSA
  2. 2.Mechanical, Industrial & Manufacturing EngineeringOregon State UniversityCorvallisUSA
  3. 3.Zilliant Inc.AustinUSA

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