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Details and formulas of the model and its extensions are given in the statistical methods Appendix.
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The analytical formulas of the models are proved using the finite element method and experimental data, and the formulas are analyzed in the inner soil pressure in the same condition.
The further details with the formula of the model are shown in Appendix 1.
The formula of the model considered is given in Additional file 1. Random effects models give unbiased results in case of MAR.
The prediction formulas of this model for each glycaemic response parameter were extracted and a linear regression analysis was done between the actual value of each glycaemic response parameter and its predicted value to obtain a R value for each parameter with this model.
The formulae of the models using selected predictor variables and/or their interaction terms are presented in supplementary table 6, available online only.
Compared with the empirical formulas of the FIB Model Code 2010 (MC2010), it is clear that the predictions from the Code are in a good agreement with the experimental results, and the lowest limit of the empirical formulas for strain rate can be extended to 10−7 s−1 instead of originally proposed 10−5 s−1 in the order of magnitude.
In this paper, we first present a general theory of influence functions for profile likelihoods and apply formulas to the models of QTL detection.
This means that we can create a function of the formula of that model first, and then use this newly created function in the nonlinear regression function.
The statistics presented therefore provide the formula of the final model, i.e. the model containing significant effects only.
Then, SMV model checker will automatically verify or falsify the CTL formula of this model.
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