Nonlinear statistical model for culm growth of Muli bamboo, Melocanna baccifera


Melocanna baccifera or Muli bamboo is an important non-timber forest product (NTFP) of North-East India. The study on growth pattern of bamboos, especially the commercially most important parameter viz. the culm height, is important in developing scientific management systems for optimum yield. In this article nonlinear statistical models were used to describe the culm height growth of Melocanna baccifera. The adequacy of the models were judged by testing the validity of the assumptions of randomness and normality of residuals by using one-sample run test and Shapiro-Wilk test respectively. Durbin-Watson test was used to examine the presence or absence of autocorrelation. To assess the goodness of fit of the suggested models, statistics viz. R2, root mean square error (RMSE), mean absolute error (MAE) etc. were computed for each model. The estimated parameters can be treated as a summary of the growth pattern. These values may be used for comparison across species or varieties or same species growing under different environmental conditions. The physical interpretation of the parameters is also being discussed.

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