Results 21 to 30 of about 519,058 (268)
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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Non-Parametric Clustering Using Deep Neural Networks
IEEE Access, 2020 In this paper, a novel algorithm for non-parametric image clustering, is proposed. Non-parametric clustering methods operate by considering the number of clusters unknown as opposed to parametric clustering, where the number of clusters is known a priori.
Christos Avgerinos +3 more
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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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Non-Parametric Function Fitting
Journal of the Royal Statistical Society Series B: Statistical Methodology, 1972 Summary In this note we consider the problem of fitting a general functional relationship between two variables. We require only that the function to be fitted is, in some sense, “smooth”, and do not assume that it has a known mathematical form involving only a finite number of unknown parameters.
Priestley, M. B., Chao, M. T.
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Designing a comparative table to determine the infant sex [PDF]
مجلة التربية والعلم, 2006 The aim of this study is to design a schedule -via statistical anaiysis-to specify the infant sex and testing the degree of success. After the specification of the efficacy of Chines manuscript and the range of compatibility of application.
Fares Ahmed +2 more
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Non-Parametric Inference of Relational Dependence
CoRR, 2022 Independence testing plays a central role in statistical and causal inference from observational data. Standard independence tests assume that the data samples are independent and identically distributed (i.i.d.) but that assumption is violated in many real-world datasets and applications centered on relational systems.
Ragib Ahsan +3 more
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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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A Non-Parametric Test of Independence [PDF]
The Annals of Mathematical Statistics, 1948 A test is proposed for the independence of two random variables with continuous distribution function (d.f.). The test is consistent with respect to the class Ω′of d.f.’s with continuous joint and marginal probability densities (p.d.). The test statistic D depends only on the rank order of the observations.
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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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