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This study investigates the ability of fuzzy genetic (FG) approach in estimation of monthly pan evaporations.
Furthermore, it has been shown that the obtained results by the ANFIS approach in estimation of non-linear functions outperform the auto-regressive models and other connectionist approaches, such as neural networks [12].
High value of correlation coefficient, i.e. 0.992 (R−square = 0.984) indicates success of SVR approach in estimation of bubble point pressure Open image in new window Fig. 2 Error distribution statistics for SVR model meant to predict bubble point pressure.
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Table 2 summarises the approaches considered in estimation of tc for Banani catchment.
Given the increasing interest in multiple imputation methods, we explored the interest of a multiple imputation approach in the estimation of cause-specific survival, when a subset of causes of death was observed.
Distribution-based methods offer another approach in the estimation of MCIDs, which interpret results in terms of the relation between the magnitude of effect and some measure of variability in results.
From our empirical investigation, we observe that in general, LASSO regression is an appealing approach due to its robustness in estimation of regression coefficients and its power in identifying non-zero coefficients associated with variables of importance under various study designs and parameter settings.
A model-based approach in the estimation of the maximum tolerated dose in phase I cancer clinical trials.
Therefore, these approaches can lead to substantial bias in estimation of the mean.
Therefore, in SCA, either a clustering approach or a masking procedure can result in estimation of the mixing matrix.
To evaluate the robustness of our results to different approaches in the estimation of expected FST, this analysis was repeated by calculating FST without the iterative removal of outliers, which yields more conservative results.
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