Application of statistical modeling techniques in forest research

Applied statistics in forest research has a significant role in collection, compilation, analysis and interpretation of data. In view of day to day rapid changes in research spectrum the scenario is becoming interesting for researchers. A model is defined an abstraction of real situations which aim to give the empirical content to relationships of variables and their interpretation. Modeling techniques are very common in basic as well as multidisciplinary research. This paper discusses various modeling techniques and prediction models viz straight line, second degree parabola, exponential, modified exponential, gompertz and logistic etc. Various thumb rules for the best fitted models are also discussed and array applications of these models are discussed in the field of forestry.