Abstract
In this paper, we have developed a likelihood ratio factorization technique for variable selection for multiple observations model. The asymptotic distribution of the selection criterion is also given. This technique has been applied to a marketing data set for illustration of the technique developed.
Original language | English (US) |
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Pages (from-to) | 187-199 |
Number of pages | 13 |
Journal | Journal of Statistical Computation and Simulation |
Volume | 63 |
Issue number | 2 |
DOIs | |
State | Published - 1999 |
Externally published | Yes |
Keywords
- Hierarchical model
- Likelihood ratio factorization technique
- Multiple observations
- Multivariate normal distribution
ASJC Scopus subject areas
- Statistics and Probability
- Modeling and Simulation
- Statistics, Probability and Uncertainty
- Applied Mathematics