Login
EN
[EN] English
[FR] Français
Login
EN
[EN] English
[FR] Français
Give us feedback
Search and explore
Search
Explore ORBilu
Open Science
Open Science
Open Access
Research Data Management
Definitions
Love My Data 11 - 15 Mar 2024
Statistics
Help
User Guide
FAQ
Publication list
Document types
Training
Legal Information
Data protection
Legal notices
About
About ORBilu
Deposit Mandate
ORBilu team
Impact and visibility
About statistics
About metrics
OAI-PMH
Project history
Back
Home
Detailled Reference
Download
Paper published in a book (Scientific congresses, symposiums and conference proceedings)
Analysis of the salary trajectories in Luxembourg : a finite mixture model approach
Guigou, Jean-Daniel
;
Lovat, Bruno
;
Schiltz, Jang
2011
•
In
Proceedings of the 1st International Conference on Stochastic Modeling Techniques and Data Analysis
Peer reviewed
Permalink
https://hdl.handle.net/10993/6904
Files (1)
Send to
Details
Statistics
Bibliography
Similar publications
Files
Full Text
chania guigou lovat schiltz.pdf
Publisher postprint (276.28 kB)
Download
All documents in ORBilu are protected by a
user license
.
Send to
RIS
BibTex
APA
Chicago
Permalink
X
Linkedin
copy to clipboard
copied
Details
Disciplines :
Finance
Author, co-author :
Guigou, Jean-Daniel
;
University of Luxembourg > Faculty of Law, Economics and Finance (FDEF) > Luxembourg School of Finance (LSF)
Lovat, Bruno
Schiltz, Jang
;
University of Luxembourg > Faculty of Law, Economics and Finance (FDEF) > Luxembourg School of Finance (LSF)
Language :
English
Title :
Analysis of the salary trajectories in Luxembourg : a finite mixture model approach
Publication date :
2011
Event name :
1st International Conference on Stochastic Modeling Techniques and Data Analysis
Event place :
Chania, Greece
Event date :
8-11 une 2010
Audience :
International
Main work title :
Proceedings of the 1st International Conference on Stochastic Modeling Techniques and Data Analysis
Publisher :
SMTDA
Pages :
319-326
Peer reviewed :
Peer reviewed
Available on ORBilu :
since 26 September 2013
Statistics
Number of views
41 (4 by Unilu)
Number of downloads
167 (3 by Unilu)
More statistics
Bibliography
Similar publications
Contact ORBilu