The main contribution of our analysis is its demonstration of how linear versus non-linear time series modeling approaches may influence conclusions regarding population response to climate change.
However, the demonstration of a linear association within a study does not imply that the association remains linear beyond the studied range of exposure.
Most important was the demonstration of positive linear correlation between peak serum CPK, AST, and LDH with Gensini score (Spearman's ρ = 0.389, p < 0.001; Spearman's ρ = 0.391, p < 0.001; and Spearman's ρ = 0.366, p < 0.001, respectively).
This study is the first demonstration of applying the linear methanol assimilation pathway for biological conversion of methanol.
This method has found growing application in different industries owing to its remarkable performance including its capability in appropriate demonstration of a non-linear relationship, if it does exist, between variables in regression problems as well as providing improved fit to the experimental data in comparison to the conventional linear models (Eissa and Shokir 2007).
This finding is consistent with the results of many previous studies [19,22,23,26], and is generally regarded as a demonstration of the non-linear (probably hyperbolic [2,3,14,24,27,34]) relation between reinforcer value and delay of reinforcement.
Demonstration example problems for control of linear plants are presented, and results are compared with those obtained by other approaches reported in the open literature.
Our demonstrations are based upon a class of linear phase diagrams with constant coefficients in the four parabolic Fick equations involved.
In the present paper, a demonstration of the use of this new Linear Matching Method analysis tool is provided.
