✦ LIBER ✦

The development of a maximum likelihood model for model-based applications

✍ Scribed by Y. Chen; K.A. Hoo

Book ID: 113551757
Publisher: Elsevier Science
Year: 2012
Tongue: English
Weight: 894 KB
Volume: 43
Category: Article
ISSN: 0098-1354
DOI: 10.1016/j.compchemeng.2012.03.010

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Development and application of a coupled

Development and application of a coupled-process parameter inversion model based on the maximum likelihood estimation method

✍ 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

Model-based classification with dissimil

Model-based classification with dissimilarities: a maximum likelihood approach

✍ Eugène-Patrice Ndong Nguéma; Guillaume Saint-Pierre 📂 Article 📅 2008 🏛 Springer-Verlag 🌐 English ⚖ 465 KB

A maximum likelihood estimator for the i

A maximum likelihood estimator for the intervening opportunities model

✍ Peter A. Rogerson 📂 Article 📅 1993 🏛 Elsevier Science 🌐 English ⚖ 362 KB

Inconsistent maximum likelihood estimato

Inconsistent maximum likelihood estimators for the Rasch model

✍ Malay Ghosh 📂 Article 📅 1995 🏛 Elsevier Science 🌐 English ⚖ 233 KB

Model-based neural decoding of reaching

Model-based neural decoding of reaching movements: a maximum likelihood approach

✍ Kemere, C.; Shenoy, K.V.; Meng, T.H. 📂 Article 📅 2004 🏛 IEEE 🌐 English ⚖ 357 KB

A maximum likelihood method for fitting

A maximum likelihood method for fitting the wandering vector model

✍ Geert De Soete; J. D. Carroll 📂 Article 📅 1983 🏛 Springer 🌐 English ⚖ 839 KB