Easy and flexible mixture distributions

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Easy and flexible mixture distributions. / Fosgerau, Mogens; Mabit, Stefan L.

I: Economics Letters, Bind 120, Nr. 2, 08.2013, s. 206-210.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

Fosgerau, M & Mabit, SL 2013, 'Easy and flexible mixture distributions', Economics Letters, bind 120, nr. 2, s. 206-210. https://doi.org/10.1016/j.econlet.2013.03.050

APA

Fosgerau, M., & Mabit, S. L. (2013). Easy and flexible mixture distributions. Economics Letters, 120(2), 206-210. https://doi.org/10.1016/j.econlet.2013.03.050

Vancouver

Fosgerau M, Mabit SL. Easy and flexible mixture distributions. Economics Letters. 2013 aug.;120(2):206-210. https://doi.org/10.1016/j.econlet.2013.03.050

Author

Fosgerau, Mogens ; Mabit, Stefan L. / Easy and flexible mixture distributions. I: Economics Letters. 2013 ; Bind 120, Nr. 2. s. 206-210.

Bibtex

@article{7fd0a2abc33d41748bfb295cd27a58e0,
title = "Easy and flexible mixture distributions",
abstract = "We propose a method to generate flexible mixture distributions that are useful for estimating models such as the mixed logit model using simulation. The method is easy to implement, yet it can approximate essentially any mixture distribution. We test it with good results in a simulation study and on real data.",
keywords = "Maximum simulated likelihood, Mixed logit, Mixture distributions, Simulation",
author = "Mogens Fosgerau and Mabit, {Stefan L.}",
year = "2013",
month = aug,
doi = "10.1016/j.econlet.2013.03.050",
language = "English",
volume = "120",
pages = "206--210",
journal = "Economics Letters",
issn = "0165-1765",
publisher = "Elsevier",
number = "2",

}

RIS

TY - JOUR

T1 - Easy and flexible mixture distributions

AU - Fosgerau, Mogens

AU - Mabit, Stefan L.

PY - 2013/8

Y1 - 2013/8

N2 - We propose a method to generate flexible mixture distributions that are useful for estimating models such as the mixed logit model using simulation. The method is easy to implement, yet it can approximate essentially any mixture distribution. We test it with good results in a simulation study and on real data.

AB - We propose a method to generate flexible mixture distributions that are useful for estimating models such as the mixed logit model using simulation. The method is easy to implement, yet it can approximate essentially any mixture distribution. We test it with good results in a simulation study and on real data.

KW - Maximum simulated likelihood

KW - Mixed logit

KW - Mixture distributions

KW - Simulation

UR - http://www.scopus.com/inward/record.url?scp=84877883348&partnerID=8YFLogxK

U2 - 10.1016/j.econlet.2013.03.050

DO - 10.1016/j.econlet.2013.03.050

M3 - Journal article

AN - SCOPUS:84877883348

VL - 120

SP - 206

EP - 210

JO - Economics Letters

JF - Economics Letters

SN - 0165-1765

IS - 2

ER -

ID: 181871703