In this paper, a high-performance error-prediction method based on Multiple Linear Regression (MLR) algorithm is proposed to improve the performance of Reversible Data Hiding (RDH). The MLR matrix function that indicates the inner correlations between the pixels and their neighbors is established ...
In a multiple linear regression model, the response variable depends on more than one predictor variable. You can perform multiple linear regression with or without theLinearModelobject, or by using theRegression Learnerapp. For greater accuracy on low-dimensional through medium-dimensional data sets,...
Compare the different models and estimate the accuracy of the model in forecasting. ^ ^ 1^ 0, -, P, beta, beta 2.2 cases of regression process We use examples from Chaterjee, Hadi, and Price to evaluate the performance of managers in big financial institutions The process of multivariate l...
Quantitative Evaluation of Impacts of Random Errors on ALS Accuracy Using Multiple Linear Regression Method The formulas for error propagation from the random error sources to the three-dimensional (3-D) coordinate errors of laser footprints of an airborne laser ... Wang, J,Xu, L,Li, X,......
Accuracy of LBS equation Methods of model evaluation After obtaining the required multilinear regression equation, we needed to judge the goodness of fit of the regression equation, which was carried out through model evaluation. For multi-linear regression, the most commonly used model evaluation indi...
Multiple Regression What is multiple regression? Multiple regressionis regression analysis with more than one independent variable. It is used to quantify the influence of two or more independent variables on a dependent variable. The general multiple linear regression model is: ...
Accuracy of the computer-aided surgical simulation (CASS) system in the treatment of patients with complex craniomaxillofacial deformity: A pilot study. Current surgical planning methods are usually not adequate for the treatment of patients with complex craniomaxillofacial (CMF) deformities. To this en...
were collected for the recent 180 months between 2004 and 2018. The predicted yield of the cherry coffee crop continuously increases each year. From the dataset, it was found that the prediction accuracy of the R2and RMSE from ANN was 0.9524 and 0.0784 tons, respectively. The ANN model showed...
Table 4 provides the results of the multiple regression analyses performed on the overall performance measure and the overall SCs; note that these measures incorporate both RTs and error rate data, so individual differences in performance do not reflect simple trade-offs between speed and accuracy. ...
The purpose of this study was to compare the accuracy of the classifications of group membership of Multiple Regression, Ridge Regression, Logistic Regression and Linear Discrimination Analysis with the mean of classification error, mean of B and mean of C. The results showed that Logistic ...