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Related Experiment Videos

Optimized decomposition and deep learning with bias correction for reliable runoff point-interval prediction

Hong Ma^1,2, Muhammad Fadhil Marsani³, Mohd Asyraf Mansor⁴

¹School of Financial Mathematics and Statistics, Guangdong University of Finance, Guangzhou, 510521, China.

Scientific Reports

|March 5, 2026

Summary

No abstract available in PubMed .

Keywords:

Bias correction Bidirectional gated recurrent unit Kernel density estimation Temporal convolutional network Whale optimization algorithm

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Prediction Intervals

Prediction Intervals

The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.

End Point Prediction: Gran Plot

End Point Prediction: Gran Plot

A Gran plot is used to predict the equivalence volume or endpoint of a potentiometric or acid-base titration without reaching the endpoint. Typically, titration data is collected as a function of the titrant's volume up to a point less than the equivalence volume and then transformed into a linear format. The straight line is extended to the x-axis, indicating the necessary titrant volume to achieve the equivalence point.
For potentiometric titration, the Gran plot is created by plotting...

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