In a classical conjoint choice experiment, respondents choose one profile from each choice set that has to be evaluated. However, in real life the respondent does not always make a choice: often he/she does not prefer any of the alternatives offered. Therefore, including a no-choice option in a choice set makes a conjoint choice experiment more realistic. In the literature three different models are used to analyze the results of a conjoint choice experiment with a no-choice option: the no-choice multinomial logit model, the extended no-choice multinomial logit model and the nested no-choice multinomial logit model. We develop optimal designs for each of these models using the D-optimality criterion and the modified Fedorov algorithm. W...
A sector of conjoint analysis (experimental design in marketing research) is made of the so called c...
Conjoint choice experiments elicit individuals' preferences for the attributes of a good by asking r...
Choice experiments have practical significance from the industry point of view and are useful in mar...
A computationally attractive model for the analysis of conjoint choice experiments is the mixed mult...
In choice experiments the process of decision-making can be more complex than the proposed by the Mu...
To date, no attempt has been made to design efficient choice experiments by means of the G- and V-op...
Estimators of choice-based multi-attribute preference models have a covariance matrix that depends o...
Making choices is a fundamental part of life. Whether it be the food that we eat, how we get from A ...
In a rank-order conjoint experiment, the respondent is asked to rank a number of alternatives instea...
Conjoint choice experiments help researchers understand how people make complex judgments such as pu...
Conjoint choice experiments have become a powerful tool to explore individual preferences. The consi...
Practitioners have frequently used the conditional logit (CL) model or multinomial logit (ML) model ...
Recently, Kessels et al. (2006) developed a way to produce Bayesian G- and V-optimal designs for the...
In conjoint experiments, each respondent receives a set of profiles to rate. Sometimes, the profiles...
In conjoint analysis consumers utility functions over multiattributed stimuli are estimated using ex...
A sector of conjoint analysis (experimental design in marketing research) is made of the so called c...
Conjoint choice experiments elicit individuals' preferences for the attributes of a good by asking r...
Choice experiments have practical significance from the industry point of view and are useful in mar...
A computationally attractive model for the analysis of conjoint choice experiments is the mixed mult...
In choice experiments the process of decision-making can be more complex than the proposed by the Mu...
To date, no attempt has been made to design efficient choice experiments by means of the G- and V-op...
Estimators of choice-based multi-attribute preference models have a covariance matrix that depends o...
Making choices is a fundamental part of life. Whether it be the food that we eat, how we get from A ...
In a rank-order conjoint experiment, the respondent is asked to rank a number of alternatives instea...
Conjoint choice experiments help researchers understand how people make complex judgments such as pu...
Conjoint choice experiments have become a powerful tool to explore individual preferences. The consi...
Practitioners have frequently used the conditional logit (CL) model or multinomial logit (ML) model ...
Recently, Kessels et al. (2006) developed a way to produce Bayesian G- and V-optimal designs for the...
In conjoint experiments, each respondent receives a set of profiles to rate. Sometimes, the profiles...
In conjoint analysis consumers utility functions over multiattributed stimuli are estimated using ex...
A sector of conjoint analysis (experimental design in marketing research) is made of the so called c...
Conjoint choice experiments elicit individuals' preferences for the attributes of a good by asking r...
Choice experiments have practical significance from the industry point of view and are useful in mar...