Discrimination Between Random and Fixed Effect Logistic Regression Models

  1. Tommasi, Chiara 2
  2. Santos-Martín, Maria Teresa 1
  3. Rodríguez-Díaz, Juan Manuel 1
  1. 1 Department of Statistics, University of Salamanca, Spain
  2. 2 Department of Economics, Business and Statistics, University of Milan, Italy
Libro:
Contributions to Statistics
  1. Jesús López-Fidalgo (ed. lit.)
  2. Juan Manuel Rodríguez-Díaz (ed. lit.)
  3. Ben Torsney (ed. lit.)

ISSN: 1431-1968

ISBN: 978-3-7908-2409-4,  978-3-7908-2410-0

Año de publicación: 2010

Páginas: 205-212

Tipo: Capítulo de Libro

DOI: 10.1007/978-3-7908-2410-0_27 GOOGLE SCHOLAR

Referencias bibliográficas

  • Abdelbasit, K. and R. Plackett (1983). Experimental design for binary data. Journal of the American Statistical Association 78, 90–98.
  • Demidenko, E. (2004). Mixed Models: Theory and Applications. New York: Wiley.
  • Dette, H. and S. Titoff (2009). Optimal discrimination designs. Annals of Statistics 37, 2056–2082.
  • Graßhoff, U., H. Holling, and R. Schwabe (2009). On optimal design for a heteroscedastic model arising from random coefficients.In Proceedings of the 6th St. Petersburg Workshop on Simulation, St. Petersburg, pp. 387–392. VVM com. Ltd.
  • López-Fidalgo, J., C. Trandafir, and C. Tommasi (2007). An optimal experimental design criterion for discriminating between non-normal models. Journal of the Royal Statistical Society, Series B 69, 231–242.
  • Mentré, F., A. Mallet, and D. Baccar (1997). Optimal design in random-effects regression models. Biometrika 84, 429–442.
  • Minkin, S. (1987). Optimal designs for binary data. Journal of the American Statistical Association 82, 1098–1103.
  • Ouwens, M., T. Frans, and B. Martijn (2006). A maximin criterion for the logistic random intercept model with covariates. Journal of Statistical Planning and Inference 136, 962–981.
  • Patan, M. and B. Bogacka (2007). Efficient sampling windows for parameter estimation in mixed effects models. In mODa 8 - Advances in Model-Oriented Design and Analysis, New York, pp. 147–155. Physica-Verlag.
  • Silvey, S. (1980). Optimal Design. New York: Chapman & Hall.
  • Sitter, R. and I. Fainaru (1997). Optimal designs for the logit and probit models for binary data. Canadian Journal of Statistics 25, 175–190.