Both a mixture likelihood method and the EM algorithm are implemented to estimate the time-toonset-of and the time-to-death-from the tumor of interest in animal carcinogenicity studies. Both methods are implemented using Box's Complex Method for ΓΏnding the maximum likelihood estimates of parameters
β¦ LIBER β¦
A Comparison of New and Old Algorithms for a Mixture Estimation Problem
β Scribed by David P. Helmbold; Robert E. Schapire; Yoram Singer; Manfred K. Warmuth
- Book ID
- 110249358
- Publisher
- Springer
- Year
- 1997
- Tongue
- English
- Weight
- 507 KB
- Volume
- 27
- Category
- Article
- ISSN
- 0885-6125
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
A comparison of a mixture likelihood met
β
Hojin Moon; Hongshik Ahn; Ralph L. Kodell; Bruce A. Pearce
π
Article
π
1999
π
Elsevier Science
π
English
β 226 KB
Fuzzy and Bayesian algorithms for a nonl
β
O. A. Stepanov; V. A. Vasiliev; A. V. Osipov
π
Article
π
2010
π
Pleiades Publishing
π
English
β 210 KB
A comparison of parameter estimation alg
β
P.N. James; P. Souter; D.C. Dixon
π
Article
π
1974
π
Elsevier Science
π
English
β 739 KB
Nine digital algorithms-five linear least-squares type, two stochastic approximation and two hill climbing-for estimating the parameters of discrete systems have been compared when applied to a second-order system having a stochastic input and output. Results are tabulated on the performance of the
A new type of parameter estimation algor
β
Petre Stoica; Luzhou Xu; Jian Li
π
Article
π
2005
π
Elsevier Science
π
English
β 183 KB
State estimation via mathematical progra
β
Caro, E.; Conejo, A.J.
π
Article
π
2012
π
The Institution of Engineering and Technology
π
English
β 200 KB
Comparison of frequency estimation algor
β
Pedro M. Ramos; A. Cruz Serra
π
Article
π
2009
π
Elsevier Science
π
English
β 541 KB