We consider a multiple autoregressive model with non-normal error distributions, the latter being more prevalent in practice than the usually assumed normal distribution. Since the maximum likelihood equations have convergence problems (Puthenpura and Sinha, 1986) [11], we work out modified maximum
✦ LIBER ✦
25 Estimating the parameters of a random effects logistic model with the Nonparametric Maximum Likelihood Method (NPML)
✍ Scribed by Florence Mesnil; France Mentré; Alain Mallet
- Book ID
- 114187269
- Publisher
- Elsevier Science
- Year
- 1997
- Tongue
- English
- Weight
- 73 KB
- Volume
- 18
- Category
- Article
- ISSN
- 0197-2456
No coin nor oath required. For personal study only.
📜 SIMILAR VOLUMES
Estimating parameters of a multiple auto
✍
Özlem Türker Bayrak; Ayşen D. Akkaya
📂
Article
📅
2010
🏛
Elsevier Science
🌐
English
⚖ 586 KB
Development and application of a coupled
✍
Alex S. Mayer; Changlin Huang
📂
Article
📅
1999
🏛
Elsevier Science
🌐
English
⚖ 468 KB
The coupled ¯ow-mass transport inverse problem is formulated using the maximum likelihood estimation concept. An evolutionary computational algorithm, the genetic algorithm, is applied to search for a global or near-global solution. The resulting inverse model allows for ¯ow and transport parameter