Results 21 to 30 of about 967,885 (269)
Theoretical and Empirical Differences between Diagonal and Full BEKK for Risk Management
Energies, 2018 The purpose of the paper is to explore the relative biases in the estimation of the Full BEKK model as compared with the Diagonal BEKK model, which is used as a theoretical and empirical benchmark.
David E. Allen, Michael McAleer
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The use of statistics in social sciences [PDF]
Journal of Humanities and Applied Social Sciences, 2019 Purpose – The purpose this paper is to review some of the statistical methods used in the field of social sciences. Design/methodology/approach – A review of some of the statistical methodologies used in areas like survey methodology, official statistics,
Petros Maravelakis
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Receiver Operator Characteristic Analysis of Biomarkers Evaluation in Diagnostic Research [PDF]
Journal of Clinical and Diagnostic Research, 2018 Receiver Operator Characteristic (ROC) analysis is the choice of method in evaluation of biomarkers in bioinformatics research. However, there is no single method and also no single accuracy index in evaluating diagnostic tools.
Karimollah Hajian-Tilaki
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Uniform convergence rates and uniform adaptive estimation in mixtures of regressions [PDF]
, 2018 In this thesis, we develop theoretical tools to examine estimators in non-parametric regression models in regard of uniform convergence rates and uniform adaptivity with respect to the smoothness of the parameter functions.
Werner, Heiko
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Frontiers in Genetics, 2022 Most genomic prediction models are linear regression models that assume continuous and normally distributed phenotypes, but responses to diseases such as stripe rust (caused by Puccinia striiformis f. sp.
Lance F. Merrick +3 more
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Robust localization based on non‐parametric kernel technique
Electronics Letters, 2022 Parametric approaches are primarily used in the context of robust localization. However, the localization performance is degraded when there is a mismatch between the assumed model and the actual situation.
Chee‐Hyun Park, Joon‐Hyuk Chang
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Adjusted empirical likelihood analysis of restricted mean survival time for length-biased data [PDF]
Journal of Mahani Mathematical ResearchThe Restricted Mean Survival Time (RMST) serves as a valuable and extensively utilized metric in clinical trials. However, its application becomes intricate when dealing with data affected by length-biased sampling, rendering traditional inference ...
Zahra Mohammadian, Arezoo Habibi
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Parametric or Non-parametric: Skewness to Test Normality for Mean Comparison
International Journal of Assessment Tools in Education, 2020 Checking the normality assumption is necessary to decide whether a parametric or non-parametric test needs to be used. Different ways are suggested in literature to use for checking normality. Skewness and kurtosis values are one of them.
Fatih Orcan
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Intelligent Prediction of Multi-Factor-Oriented Ground Settlement During TBM Tunneling in Soft Soil
Frontiers in Built Environment, 2022 Tunneling-induced ground surface settlement is associated with many complex influencing factors. Beyond factors related to tunnel geometry and surrounding geological conditions, operational factors related to the shield machine are highly significant ...
Zhi Ding +5 more
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Adaptive non-parametric estimation in the presence of dependence [PDF]
, 2016 We consider non-parametric estimation problems in the presence of dependent data, notably non-parametric regression with random design and non-parametric density estimation. The proposed estimation procedure is based on a dimension reduction. The minimax
Asin, Nicolas, Johannes, Jan
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