
Forecasting of activity process indexes for Dubrava forestry
Author(s) -
Tomas Ruzgas,
Rasa Cibulskytė
Publication year - 2008
Publication title -
lietuvos matematikos rinkinys
Language(s) - English
Resource type - Journals
eISSN - 2335-898X
pISSN - 0132-2818
DOI - 10.15388/lmr.2008.18100
Subject(s) - process (computing) , software , statistical software , computer science , object (grammar) , statistical analysis , forestry , statistics , software engineering , artificial intelligence , programming language , mathematics , geography
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.