Since the implementation of sustainable development strategy, China has made great efforts to save water resources. Therefore, effective prediction and analysis regional consumption are very important for economy. In order forecast requirement five provinces in North China, DGMC(1,2) model is proposed predict point value by considering three industries population. The results turn out that an e...

Barndorff-Nielsen and Cox (1994, p.319) modify an estimative prediction limit to obtain an improved prediction limit with better coverage properties. Kabaila and Syuhada (2008) present a simulation-based approximation to this improved prediction limit, which avoids the extensive algebraic manipulations required for this modification. We present a modification of an estimative prediction interva...

Interval prediction can be more useful than single value prediction in many continuous data streams. This paper introduces a novel Interval Prediction Tree IP3 algorithm for interval prediction of numerical target variables from temporal mean-variance aggregated continuous data. This algorithm characterized by: processing incoming mean-variance aggregated multivariate temporal data, splitting e...

This study offers a new technique for constructing percentile bootstrap intervals to predict the regression of univariate local polynomials. Bootstrap uses resampling derived from paired and residual methods. The main objective this is perform comparative analysis between two methods by considering nominal coverage probability. Resampling nonparametric with return method, where each sample poin...

Stream interaction region (SIR) is one of the space weather phenomena that accelerates upstream particles interface in interplanetary and causes geomagnetic storms. SIRs are large-scale structures vary temporally spatially, both latitudinal radial directions. Predicting arrival times regions (IRs) crucial to protect our navigation communication systems. In this work, a 1D ensemble system compri...

OBJECTIVES Evaluating the variation in the strength of the effect across studies is a key feature of meta-analyses. This variability is reflected by measures like τ(2) or I(2), but their clinical interpretation is not straightforward. A prediction interval is less complicated: it presents the expected range of true effects in similar studies. We aimed to show the advantages of having the predic...