Mixed logit is a fully general statistical model for examining discrete choices. The motivation for the mixed logit model arises from the limitationsâ€¦Â (More)

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Highly Cited

2004

Highly Cited

2004

The use of a joint normal distribution for partworths is computationally attractive, particularly with Bayesian MCMC proceduresâ€¦Â (More)

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2003

2003

A mixed logit is specified with partworths that are transformations of normally distributed terms, including censored normalsâ€¦Â (More)

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Highly Cited

2002

Highly Cited

2002

The multinomial logit model (MNL) has for many years provided the fundamental platform for the analysis of discrete choice. Theâ€¦Â (More)

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2002

2002

A computationally attractive model for the analysis of conjoint choice experiments is the mixed multinomial logit model, aâ€¦Â (More)

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Review

2001

Review

2001

The mixed logit model is considered to be the most promising state of the art discrete choice model currently availableâ€¦Â (More)

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Highly Cited

1999

Highly Cited

1999

- Kenneth E. Train
- 1999

The simulation variance in the estimation of mixed logit parameters is found, in our application, to be lower with 100 Haltonâ€¦Â (More)

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Highly Cited

1999

Highly Cited

1999

- Chandra R. Bhat
- 1999

This paper proposes the use of a quasi-random sequence for the estimation of the mixed multinomial logit model. The mixedâ€¦Â (More)

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1998

1998

- Staffan Algers, PÃ¥l BergstrÃ¶m, Matz Dahlberg, J. Dillen, Johanna Lindqvist
- 1998

In this paper we use mixed logit specifications to allow parameters to vary in the population when estimating the value of timeâ€¦Â (More)

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Highly Cited

1997

Highly Cited

1997

- David Revelt
- 1997

Mixed logit models, also called random-parameters or errorcomponents logit, are a generalization of standard logit that do notâ€¦Â (More)

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Highly Cited

1997

Highly Cited

1997

We compare multinomial logit and mixed logit models for data on California householdsâ€™ revealed and stated preferences forâ€¦Â (More)

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