Journal of the Korean Data and Information Science Society
- Volume 18 Issue 1
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- Pages.17-29
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- 2007
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- 1598-9402(pISSN)
The Comparison of Parameter Estimation and Prediction Methods for STBL Model
- Published : 2007.02.28
Abstract
The major purpose of this article is the comparison of estimation method with Newton-Raphson, Kalman-filter, and prediction method with Kalman prediction. Conditional expectation in space time bilinear(STBL) model, which is a very powerful and parsimonious nonlinear time-series model for the space time series data can be viewed as a set of time series collected simultaneously at a number of spatial locations and time points, and which have appeared in a important applications areas: geography, geology, natural resources, ecology, epidemiology, etc.