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PResiduals: An R Package for Residual Analysis Using Probability-Scale Residuals. [PDF]
J Stat Softw, 2020 We present the R package PResiduals for residual analysis using the probability-scale residual. This residual is well defined for a wide variety of outcome types and models, including some settings where other popular residuals are not applicable. It can
Liu Q, Shepherd B, Li C.
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Statistical notes for clinical researchers: simple linear regression 3 - residual analysis. [PDF]
Restor Dent Endod, 2019 https://rde.ac In the previous sections, simple linear regression (SLR) 1 and 2, we developed a SLR model and evaluated its predictability. To obtain the best fitted line the intercept and slope were calculated by using the least square method ...
Kim HY.
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A Residual Analysis-Based Improved Particle Filter in Mobile Localization for Wireless Sensor Networks [PDF]
Sensors, 2018 Wireless sensor networks (WSNs) have become a popular research subject in recent years. With the data collected by sensors, the information of a monitored area can be easily obtained.
Long Cheng, Liang Feng, Yan Wang
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Road Extraction by Deep Residual U-Net [PDF]
IEEE Geoscience and Remote Sensing Letters, 2017 Road extraction from aerial images has been a hot research topic in the field of remote sensing image analysis. In this letter, a semantic segmentation neural network which combines the strengths of residual learning and U-Net is proposed for road area ...
Liu, Qingjie +2 more
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GRASP-Net: Geometric Residual Analysis and Synthesis for Point Cloud Compression [PDF]
Proceedings of the 1st International Workshop on Advances in Point Cloud Compression, Processing and Analysis, 2022 Point cloud compression (PCC) is a key enabler for various 3-D applications, owing to the universality of the point cloud format. Ideally, 3D point clouds endeavor to depict object/scene surfaces that are continuous.
Jiahao Pang, M. Lodhi, Dong Tian
semanticscholar +1 more source
Energies, 2023 With the widespread application of permanent magnet synchronous motor (PMSM) drives, the demand for safety and reliability has increased. Inverter open-circuit fault is a frequent and severe failure that requires reliable detection and remedial measures.
Bo Wang, Xiaobao Feng, Rongxin Wang
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A versatile workflow for linear modelling in R
Frontiers in Ecology and Evolution, 2023 Linear models are applied widely to analyse empirical data. Modern software allows implementation of linear models with a few clicks or lines of code. While convenient, this increases the risk of ignoring essential assessment steps. Indeed, inappropriate
Matteo Santon +5 more
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Mathematical and Computational Applications, 2022 A new family of continuous distributions called the generalized odd linear exponential family is proposed. The probability density and cumulative distribution function are expressed as infinite linear mixtures of exponentiated-F distribution.
Farrukh Jamal +5 more
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Online Model-based Fault Detection of Synchronous Generators using Residual Analysis
IEEE Access, 2021 In this paper, an online model-based fault detection approach based on residual analysis in synchronous generators (SGs) is presented. Two types of faults are studied in this paper: (i) reduction of the cross-sectional area of windings wires in SGs, and (
Z. Masoumi +3 more
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New Partially Linear Regression and Machine Learning Models Applied to Agronomic Data
Axioms, 2023 Regression analysis can be appropriate to describe a nonlinear relationship between the response variable and the explanatory variables. This article describes the construction of a partially linear regression model with two systematic components based ...
Gabriela M. Rodrigues +2 more
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