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Linear and logistic regression are popular statistical techniques for analyzing multi-variate data. Typically, analysts do not simply posit a particular form of the regression model, estimate its parameters, and use the results for inference orprediction. Instead, they first use a variety of diagnostic techniques to assess how well the model fits the relationships in the data and how well it can be...
Understanding how users participate is of key importance to social computing systems since their value is created from user contributions. In many social computing systems, users decide sequentially whether to participate or not and, if participate, whether to create a piece of content directly, i.e., answering, or to rate existing content, i.e., voting. Moreover, there exists an answering-voting...
In international trade, the most widely used transportation form is the ocean freight. Port throughput forecasting is a important index for port construction and layout. In this paper, on the basis of Pearl Curve Model, GM (1,1) and Exponential Smoothing, we introduced the combinatorial forecasting model that incorporated the three. In the case of the cargo throughput of Dalian port as the example,...
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