Results 31 to 40 of about 985,928 (292)
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.
openaire +2 more sources
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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.
openaire +2 more sources
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
doaj +1 more source
A Kolmogorov-Smirnov Based Test for Comparing the Predictive Accuracy of Two Sets of Forecasts
Econometrics, 2015 This paper introduces a complement statistical test for distinguishing between the predictive accuracy of two sets of forecasts. We propose a non-parametric test founded upon the principles of the Kolmogorov-Smirnov (KS) test, referred to as the KS ...
Hossein Hassani, Emmanuel Sirimal Silva
doaj +1 more source
Non-Parametric Transformation Networks
CoRR, 2018 Preprint ...
Dipan K. Pal, Marios Savvides
openaire +2 more sources