Results 21 to 30 of about 1,355 (166)
Resampling Techniques for Estimating the Parameters of Grubbs Model with Asymmetric Heavy-Tailed Distributions [PDF]
The Egyptian Statistical Journal, 2017 In this paper, three resampling techiques are considered, namely, bootstrap, jack-knife and jackknife after bootstrap. The main objective is to study the performance of these techniques for maximum likehood estimation for the parameters using expectation
Hanadi Mansour, Amany Mousa
doaj +1 more source
Journal of ICT, 2020 The curse of class imbalance affects the performance of many conventional classification algorithms including linear discriminant analysis (LDA). The data pre-processing approach through some resampling methods such as random oversampling (ROS) and ...
Ahmad Hakiim Jamaluddin, Nor Idayu Mahat
doaj +5 more sources
Alexandria Engineering Journal, 2021 Gully erosion is one of the advanced forms of water erosion. Identifying the effective factors and gully erosion predicting is one of the important tools to control and manage such phenomenon.
Fengjie Wang +8 more
doaj +1 more source
Image Noise Reduction by Means of Bootstrapping-Based Fuzzy Numbers
Applied Sciences, 2022 Removing or reducing noise in color images is one of the most important functions of image processing, which is used in many sciences. In many cases, nonlinear methods significantly reduce the noise in the image and are widely used today.
Reza Ghasemi +3 more
doaj +1 more source
Multiple Comparisons for a Psychophysical Test in Bootstrap Logistic Regression
Journal of Algorithms & Computational Technology, 2014 We propose an algorithm of multiple comparisons with a control for a psychophysical test. Our algorithm is based on the step-down procedure and is applicable to the bootstrap test in logistic regression.
Norihiro Mita +4 more
doaj +1 more source
Confidence intervals construction for difference of two means with incomplete correlated data
BMC Medical Research Methodology, 2016 Background Incomplete data often arise in various clinical trials such as crossover trials, equivalence trials, and pre and post-test comparative studies.
Hui-Qiong Li, Nian-Sheng Tang, Jie-Yi Yi
doaj +1 more source
Exchangeably Weighted Bootstraps of General Markov U-Process
Mathematics, 2022 We explore an exchangeably weighted bootstrap of the general function-indexed empirical U-processes in the Markov setting, which is a natural higher-order generalization of the weighted bootstrap empirical processes.
Inass Soukarieh, Salim Bouzebda
doaj +1 more source
Prediction of Hourly Global Solar Radiation: Comparison of Neural Networks / Bootstrap Aggregating [PDF]
Kemija u Industriji, 2023 This research work explores the use of single neural networks and bootstrap aggregated neural networks for predicting hourly global solar radiation. A database of 3606 data points were from the Renewable Energies Development Center, radiometric station ...
Abdennasser Dahmani +4 more
doaj +1 more source
Journal of Rock Mechanics and Geotechnical Engineering, 2022 An efficient resampling reliability approach was developed to consider the effect of statistical uncertainties in input properties arising due to insufficient data when estimating the reliability of rock slopes and tunnels.
Akshay Kumar, Gaurav Tiwari
doaj +1 more source
Estimating Neural Network’s Performance with Bootstrap: A Tutorial
Machine Learning and Knowledge Extraction, 2021 Neural networks present characteristics where the results are strongly dependent on the training data, the weight initialisation, and the hyperparameters chosen. The determination of the distribution of a statistical estimator, as the Mean Squared Error (
Umberto Michelucci, Francesca Venturini
doaj +1 more source