Name
Abstract | ||
|---|---|---|
The difference between a model forecast and actual observations is called
forecast bias. This bias is due to either incomplete model assumptions and/or
poorly known parameter values and initial/boundary conditions. In this paper we
discuss a method for estimating corrections to parameters and initial
conditions that would account for the forecast bias. A set of simple
experiments with the logistic ordinary differential equation is performed using
an iterative version of a first order version of our method to compare with the
second order version of the method. |
Year | Venue | Keywords |
|---|---|---|
2010 | Clinical Orthopaedics and Related Research | second order,dynamic system,first order,ordinary differential equation,boundary condition,initial condition |
Field | DocType | Volume |
Boundary value problem,Mathematical optimization,Ordinary differential equation,First order,Forecast error,Mathematics,Forecast bias | Journal | abs/1011.1 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sean Crowell | 1 | 0 | 1.01 |
| S. Lakshmivarahan | 2 | 412 | 66.03 |