In a multiple linear regression model, there are instances where one has to update the regression parameters. In such models as new data become available, by adding one row to the design matrix, the least-squares estimates for the parameters must be updated to reflect the impact of the new data. We will modify two existing methods of calculating regression coefficients in multiple linear regres...

The US election will have a certain impact on the economy. In this paper, different index systems are established to analyze influence of factors and American After establishing system, paper use machine learning regression algorithm fit data in recent decades. We choose variety models, including ordinary linear model, Bayesian ridge elastic network support vector model gradient enhanced model....

A general approach for developing distribution free tests for general linear models based on simplicial depth is applied to multiple regression. The tests are based on the asymptotic distribution of the simplicial regression depth, which depends only on the distribution law of the vector product of regressor variables. Based on this formula, the spectral decomposition and thus the asymptotic di...

With the rapid development of transportation and logistics economy, the vehicle travel time prediction and planning become an important topic in logistics. Travel time prediction, which is indispensible for traffic guidance, has become a key issue for researchers in this field. At present, the prediction of travel time is mainly short term prediction, and the predication methods include artific...

The amount of data generated by traditional business activities, creating data repositories ranging from terabytes to petabytes in size. However, this information cannot be practically analyzed on a single commodity computer because the data is too large to fit in memory. For this purpose, the large size of data to be processed requires the use of high-performance analytical systems running on ...