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Non-Parametric Function Fitting
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.
openaire +2 more sources
Genome-wide search for strabismus susceptibility loci. [PDF]
The purpose of this study was to search for chromosomal susceptibility loci for comitant strabismus. Genomic DNA was isolated from 10mL blood taken from each member of 30 nuclear families in which 2 or more siblings are affected by either esotropia or ...
Fujiwara, Hirotake +6 more
core +1 more source
Theoretical and Empirical Differences between Diagonal and Full BEKK for Risk Management
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
doaj +1 more source
Receiver Operator Characteristic Analysis of Biomarkers Evaluation in Diagnostic Research [PDF]
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]
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
core +1 more source
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
doaj +1 more source
Robust localization based on non‐parametric kernel technique
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
doaj +1 more source
Adjusted empirical likelihood analysis of restricted mean survival time for length-biased data [PDF]
The 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
doaj +1 more source
Parametric or Non-parametric: Skewness to Test Normality for Mean Comparison
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
doaj +1 more source
Intelligent Prediction of Multi-Factor-Oriented Ground Settlement During TBM Tunneling in Soft Soil
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
doaj +1 more source

