This paper aims to analyze the Rossmann sales data using predictive models such as linear regression and KNN regression. An accurate sales prediction can benefit a business by helping save money on excess inventory, planning properly for the future, and increasing the profit earned. Thus, it is ...
This information is helpful for wildfire prediction by implying that (1) we cannot make reliable wildfire predictions beyond these time lags in advance; (2) when tracing the causes of a wildfire that has already occurred, we should at least consider the time delay as time lags show, otherwise...
The development of many estimators of parameters of linear regression model is traceable to non-validity of the assumptions under which the model is formulated, especially when applied to real life situation. This notwithstanding, regression analysis may aim at prediction. Consequently, this paper exami...
If a linear regression model is used for prediction, the mean squared error of prediction (MSEP) measures the performance of the model. The MSEP is a function of unknown parameters and good estimates of it are of interest. This article derives a best unbiased estimator and a minimum MSE esti...
The cabin-level model is implemented using either linear regression, or as a direct probability model with explicit incorporation of the cabin-level no-show rates derived from the passenger-level model outputs. The new passenger-based models are compared to a conventional historical model, using ...
performance of N-glycans was examined by ROC curve analysis, resulting in an AUC of 0.852 for the total plasma N-glycome and 0.798 for IgG N-glycome prediction models. Our results indicate that multiple aspects of protein glycosylation are altered in MS, showing increased proinflammatory ...
Foreign Exchange Currency prediction has become a challenging task since the late 1970s due to uncertainty movement of exchange rates. However, most researchers in this area were neglecting to analyse trend patterns from historical Forex data as input features. Thus, this motivates us to investigate...
Crop yield prediction Crop yield may be assessed and predicted using a piecewise linear regression method with break point and various weather and agricultural parameters, such ... Ramesh P. Singh,AK Prasad,V Tare,... - 《Multimedia Tools & Applications》 被引量: 16发表: 2024年 Estimation of...
DOC analysis holds promise to test whether a census of a community can inform a reasonable prediction of a second community, which implies that there are regularities in their community assembly. If this holds true for AM fungal communities across large spatial scales, it would suggest that taxa...
Multiple linear regression and artificial neural networks based on principal components to predict ozone concentrations The prediction of tropospheric ozone concentrations is very important due to the negative impacts of ozone on human health, climate and vegetation. The dev... SIV Sousa,FG Martins,MCM...