6 research outputs found
D-optimal Factorial Designs under Generalized Linear Models
Generalized linear models (GLMs) have been used widely for modelling the mean
response both for discrete and continuous random variables with an emphasis on
categorical response. Recently Yang, Mandal and Majumdar (2013) considered full
factorial and fractional factorial locally D-optimal designs for binary
response and two-level experimental factors. In this paper, we extend their
results to a general setup with response belonging to a single-parameter
exponential family and for multi-level predictors.Comment: 16 pages, 1 figur