Institute of Statistics


The Institute of Statistics of the University of Neuchâtel provides bachelor and graduate courses included in the university program in management, social sciences, economy, labour psychology, informatics and mathematics. The Institute of Statistics additionally guarantees a master program in statistics. The research interests of the institute mainly concern sampling, estimation in finite populations, non-parametric and semi-parametric methods, multivariate statistics, robust methods, PLS regression. The Institute of Statistics develops a constant and productive collaboration with the Swiss Federal Statistical Office. Public as well as private enterprises entrust our Institute with several tasks

We have moved

New address : Av. de Bellevaux 51 (G building/Unimail), upper ground floor west, 2000 Neuchâtel


Recent publications

  • Hasler, C., & Tillé, Y. (2014). Fast balanced sampling for highly stratified population. Computational Statistics & Data Analysis, 74, 81-94. lien internet
  • Massiani, A. (2013). Estimation de la variance d'’indicateurs transversaux pour l'’enquête SILC en Suisse.  Techniques d'enquête, 39 (1), 121-148.   lien internet  
  • Tafin Djoko, D. (2013). Performance Based Diversification How To Create a Multistrategy Hedge Fund?.  Journal of Applied Finance & Banking, 3 (4), 271-325.   lien internet  
  • Tafin Djoko, D. (2013). Tracking Hedge Fund Performance: A Balanced Sampling Strategy.  Journal of Statistical and Econometric Methods, 2 (1), 81-114.   lien internet  
  • Randrianasolo, T., & Tillé, Y. (2013). Small Area Estimation by Splitting the Sampling Weights.  Electronic Journal of Statistics, 7 , 1835-1855.   lien internet  
  • Grafström, A., & Tillé, Y. (2013). Doubly balanced spatial sampling with spreading and restitution of auxiliary totals. Environmetrics, 24 (2), 120-131.   lien internet  
  • Langel, M., & Tillé, Y. (2013). Variance estimation of the Gini index: Revisiting a result several times published.  Journal of the Royal Statistical Society - Series A, 176 (2), 521-540.   lien internet