Transformation and weighting in regression
Transformation and weighting in regression
Tests for dispersion effects from orthogonal arrays
Computational Statistics & Data Analysis - Optimal design and analysis of experiments
A generalized linear modeling approach to robust design
Technometrics
Hi-index | 0.03 |
Maximum likelihood estimation for a joint location/dispersion model has been found occasionally to experience convergence problems when applied to experiments of the 2^k factorial series. We explore these problems and identify models for which the likelihood diverges or is multimodal. We derive the conditions under which this occurs and provide simple ways to check for problems both before and during computation.