Forecasting of activity process indexes for Dubrava forestry

Tomas  Ruzgas; Rasa  Cibulskytė

doi:10.15388/LMR.2008.18100

Articles

Tomas Ruzgas

Kaunas University of Technology

Rasa Cibulskytė

Kaunas University of Technology

Published 2008-12-21

https://doi.org/10.15388/LMR.2008.18100

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Keywords

Dubrava forestry
forecasting
time series analysis

How to Cite

Ruzgas, T. and Cibulskytė, R. (2008) “Forecasting of activity process indexes for Dubrava forestry”, Lietuvos matematikos rinkinys, 48(proc. LMS), pp. 228–232. doi:10.15388/LMR.2008.18100.

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Abstract

The forecasting models of activity process indexes and statistical software SAS for support the decisionmaking is presented in this paper. The models and software were developed using applied statistics methods, object programming technology.

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