Two applications with real-life interval data sets are considered. The prediction quality is assessed by a mean magnitude of relative error calculated from a test data set. (C) 2012 Elsevier Ltd. All rights reserved. 展开 关键词: robust regression symbolic data analysis interval-valued data ...
Yu. Flexible objective Bayesian linear regression with applications in survival analysis. Journal of Applied Statistics, 2016; in press.F.J. Rubio and K. Yu. Flexible objective Bayesian linear regression with applications in survival analysis. Journal of Applied Statistics, 44, 2017....
such as the need for a sufficiently large dataset for model training, sensitivity to hyperparameter selection, and lack of interpretability [11,12]. Also, there is a lack of proper explanations of the internal structure of deep model structures, which raises concern in applications that directly ...
The Total Fertility Rate (TFR) is the number of live births that a woman is expected to have in her lifetime [13]. This rate is especially high, around 5 children per woman, in sub-Saharan Africa (SSA) when compared to other regions of the world such as Europe, which has a TFR of...
In regression analysis the relationship between one response and a set of explanatory variables is investigated. The (response and explanatory) variables are usually single-valued. However, in several real-life situations, the available ... P Giordani,A Moro 被引量: 2发表: 2011年 ...
Multicollinearity and outliers pose challenges in linear regression models.A new robust ridge M-estimator addresses multicollinearity with y-direction outliers.The proposed estimators efficiently handle multicollinearity with dependent variable outliers.Simulations and real data show the effectiveness of the propo...
real-life examples/ C1290F Systems theory applications in industry C4130 Interpolation and function approximation (numerical analysis) C1140Z Other topics in statistics E3628 Biotechnology industry E1525 Industrial processes E0210L Numerical analysis E0210E Combinatorial mathematics E0210J Statistics E...
摘要: Prognostics technique aims to accurately estimate the Remaining Useful Life (RUL) of a subsystem or a component using sensor data, which has many real world applications. However, many of the...关键词: Multivariate time series analysis Deep learning Convolutional neural networks Supervised ...
While the mean summarizes the behavior of Y in the center of its distribution, applications in the field of risk assessment require knowledge of the distributional tail. For a probability level τ∈(0,1), an important quantity is the conditional quantile Qx(τ)=FY−1(τ∣X=x), (1) ...
As the mobile platform pervades human life, much research in recent years has focused on improving the reliability of mobile applications on this platform, for example by applying automatic testing. However, researchers have primarily consid- ered testing of single version of mobile applications. Altho...