A simple model is proposed for incidence prediction. The model is non-linear in parameters but linear in time, following models in environmental cancer epidemiology. Assuming a Poisson distribution for the age and period speciΓΏc numbers of incident cases approximate conΓΏdence and prediction interval
β¦ LIBER β¦
New tools in non-linear modelling and prediction
β Scribed by Antonia J. Jones
- Book ID
- 106307911
- Publisher
- Springer-Verlag
- Year
- 2004
- Tongue
- English
- Weight
- 982 KB
- Volume
- 1
- Category
- Article
- ISSN
- 1619-697X
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
A simple non-linear model in incidence p
β
Tadeusz Dyba; Timo Hakulinen; Lassi PΓ€ivΓ€rinta
π
Article
π
1997
π
John Wiley and Sons
π
English
β 120 KB
π 3 views
A new real-time perspective on non-linea
β
Darryl DeHaan; Martin Guay
π
Article
π
2006
π
Elsevier Science
π
English
β 328 KB
Predictive efficiency for simple non-lin
β
Thomas F. Cooley; William R. Parke; Siddhartha Chib
π
Article
π
1989
π
Elsevier Science
π
English
β 616 KB
Non-linear predictions from linear theor
β
R Mainini; A.V MacciΓ²; S.A Bonometto
π
Article
π
2003
π
Elsevier Science
π
English
β 450 KB
Non-linear diffusion in process modellin
β
M. J. Baines; N. R. C. Birkett; P. K. Sweby
π
Article
π
1990
π
John Wiley and Sons
π
English
β 748 KB
The non-linear diffusion mechanism arising in process modelling is analysed via a model problem. Using a scaling of the dopant concentration and an adaptive finite element method, high resolution is obtained in a particularly economical way. -= div (D(c,cA) grad c)
Non-Linear Model Based Predictive Contro
β
G. Baffi; J. Morris; E. Martin
π
Article
π
2002
π
Institution of Chemical Engineers
π
English
β 757 KB