Inferential statistics modelling and claim re-assessment. In: The 3rd International Conference on Computer Engineering & Mathematical Sciences (ICCEMS 2014). ScienceAsia journal, pp. 835-840. ISBN 978-967-11414-7-2 (2014)
Abstract
The runoff prediction model proposed by the United States Department of Agriculture (USDA), Soil Conservation Services (SCS) in 1954 produced inconsistent results according to worldwide research findings. The model was re-assessed with local data, modified and re-presented as a significant improved model using non-parametric inferential statistics after different conclusions were deduced against two null hypotheses. Another regional specific correction equation was also proposed as an amendment to the original model for SCS model practitioners to improve the model runoff prediction results through a site specific characteristics calibration procedure as proposed herewith. Both models reduced residual sum of squares (RSS) from SCS model by 78%. Statistical inference modelling techniques were demonstrated in this case study
| Item Type: | Book Section |
|---|---|
| Keywords: | Bootstrapping, SPSS, Runoff prediction, Non-parametric inferential statistics,, Runoff prediction |
| Taxonomy: | By Subject > Computer & Mathematical Sciences > Mathematics By Subject > Computer & Mathematical Sciences > Statistics |
| Local Content Hub: | Subjects > Computer and Mathematical Sciences |
| Depositing User: | Mohd Fadhli Samsudin |
| Date Deposited: | 01 Oct 2021 23:14 |
| Last Modified: | 07 Oct 2021 04:48 |
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