Duggleby, R. G. Estimation of the Reliability of Parameters Obtained by Non-Linear Regression Eur. J. Biochem. 1980, 109, 93-96.Duggleby, R. G. Estimation of the Reliability of Parameters Obtained by Non-Linear Regression. Eur. J. Biochem. 1980, 109, 93- 96....
I understand that you want to know whether the result obtained by the parameters selected by the toolbox are the best results or there is scope of improvement via manual tuning of parameters. However as you mentioned "accuracy" and "Optimal Accuracy" that depends ...
In a Bayesian analysis, you update the distribution of the parameters by using information about the parameters obtained from the likelihood of the data. The result is the joint posterior distribution of (β,σ2) or the conditional posterior distributions of the parameters....
Data of older adult participants aged ≥ 65 years obtained from January to December 2019 in the NFA 100 (n = 47,491) were included in this study. Data from participants who skipped more than one test of muscular strength and endurance, aerobic fitness, flexibility, balance, and ...
Information about the estimation results and options used is stored in theReportproperty of the model.Reporthas the following fields. Report FieldDescription Status Summary of the model status, which indicates whether the model was created by construction or obtained by estimation ...
We used the AUC evaluated on the testing data as the benchmark, and compared the AUC predicted by PRStuning and the unadjusted AUC obtained by directly plugging in the training summary statistics with the benchmark. Since all SNPs are independent, we only considered P+T as the PRS method. ...
Next, we show how the expected value of the natural logarithm of a gamma-distributed random variable can be obtained, that is, $$\begin{aligned} E_{\mathcal {X}} \{ \log \mathcal {X} \}&= \int \limits _0^{\infty } \log x f_{\mathcal {X}}(x) dx. \end{aligned}$$ ...
The next tasks in modelling are to select an appropriate mathematical function or modelling method and to define the statistical conditions concerning the error and the estimator. Thereafter, the parameters of the model are obtained, but it is not any longer as simple as a minimization of the ...
Summary of the model status, which indicates whether the model was created by construction or obtained by estimation Method Estimation command used InitialCondition Handling of initial conditions during model estimation, returned as one of the following values: 'zero'— The initial conditions were set...
(Fig.4c). Moreover, we obtainedR2values of 0.60 for wild-type enzymes and 0.81 for mutant enzymes, along with RMSE values of 0.90 for wild-type enzymes and 0.67 for mutant enzymes. In order to further validate the ability of the proposed UniKP framework, we conducted additional experiments...