In the course of daily forecasting of river stages at selected points along the Illinois and Mississippi Rivers, it has been noticed that conventional mainstem forecasting procedures proved somewhat inadequate in cases where rivers were generally flat. Such methods usually involve multiple graphical ...
Each event, whether it is a visit or a lab test, has a different set of attributes. Therefore, the event characteristics are a function of the event type. For example, a hospitalization event will record the relative date of the hospitalization, the length of stay, diagnostic code, and res...
Regression forecasting method is the use of regression analysis method, through the statistical processing and analysis of a large number of observation data, to find out the relation- ship between the number of predictive objects and influencing factors. The theory of multiple linear regression ...
One of the main goals in epidemics studies is to correctly predict the time evolution of a given disease within a population1. The forecasting procedure, which may take numerical or analytical formulations, often encounters obstacles due to heterogeneous populations and the limited knowledge of the ...
Equation (11) is the formula for computing the conditional probability of Softmax forecasting that an input sample x belongs to category c in multi-classification situations.(11)p(y=c|x)=eωcTx∑j=1ceωjTx,where c represents the total number of classes, ω represents the weight vector of...
According to a statistical report on domestic WPFEs in China, the root mean square errors are around 10%–20% for day-ahead forecasting [26]. As it is difficult to improve the accuracy of the forecast, quantifying the impact of WPFEs on the reliability can provide a compromise solution ...
Entropy method and application to determine weights of combination forecasting [J] J Anhui Univ (Nat Sci), 4 (2003) Google Scholar [137] H.-S. Yan, Z.-G. Shang Product design time forecast using relative entropy kernel regression Int J Indus Eng, 26 (3) (2019) Google Scholar [138] ...
64 Study on the Choice of Commuting Mode Between Central City and Satellite City... 65 Research on Expressway Service Area Design Based on Behavioral Psychology ... 66 Forecasting Trip Purpose with Social Media Data and Google Places... 67 Analysis of the Characteristics of Zhengzhou to Jiaozuo ...
ETS model. The exponential smoothing model (ETS) method is a kind of forecasting method which takes the historical information into comprehensive consideration; with weighting observed values, the forecasting value can comprehensively reflect all the historical information, and take the effect of ...
Especially in statistical climatology, TCA is used in various fields, including dynamical diagnosing and climate forecasting5–7. However, due to the effects of many nonlinear processes and external forcings, it should be noted that signals obtained in nature are usually characterized by multi-scale...