Results 1 to 10 of about 12,193,766 (206)
A method for detecting outliers in linear-circular non-parametric regression. [PDF]
PLoS ONE, 2023 This study proposes a robust outlier detection method based on the circular median for non-parametric linear-circular regression in case the response variable includes outlier(s) and the residuals are Wrapped-Cauchy distributed. Nadaraya-Watson and local
Sümeyra Sert, Filiz Kardiyen
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Non-Parametric Regression and Riesz Estimators
Axioms, 2023 In this paper, we consider a non-parametric regression model relying on Riesz estimators. This linear regression model is similar to the usual linear regression model since they both rely on projection operators.
Christos Kountzakis +1 more
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Investigation of Parametric, Non-Parametric and Semiparametric Methods in Regression Analysis [PDF]
Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 2022 Regression analysis is known as statistical methods applied to model and analyze the relationship between variables. Regression method can be examined as parametric, non-parametric and semiparametric regression methods.The parametric regression method ...
Esra Yavuz, Mustafa Şahin
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Test for Linearity in Non-Parametric Regression Models
Austrian Journal of Statistics, 2022 The problem of checking the linearity of a regression relationship is addressed. The test uses nonparametric estimation techniques. The null hypothesis is that the regression function is linear; it is tested against the non-specic alternatives hypotheses.
Khedidja Djaballah-Djeddour +1 more
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Assessment of non-linearity in calorie–income relationship in Pakistan
Frontiers in Nutrition, 2022 This article considers the issue of assessing non-linearity in the relationship between calorie consumption and income using non-parametric and semi-parametric approaches.
Nadia Shabnam
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Efficient estimation of smoothing spline with exact shape constraints
Statistical Theory and Related Fields, 2021 Smoothing spline is a popular method in non-parametric function estimation. For the analysis of data from real applications, specific shapes on the estimated function are often required to ensure the estimated function undeviating from the domain ...
Vincent Chan +4 more
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Agronomy, 2021 The aim of this work was to answer the following question: can influential points modify the recommendation of genotypes, based on regression methods, in the presence of genotype × environment (G × E)?
Moysés Nascimento +9 more
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Forecasting, 2021 A rapid decline in mortality and fertility has become major issues in many developed countries over the past few decades. An accurate model for forecasting demographic movements is important for decision making in social welfare policies and resource ...
Ka Kin Lam, Bo Wang
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Probability and Inferential Statistics
Airway, 2020 Application of statistical tools is essential for appropriate understanding of the collected data in clinical trials. The types of variables for the study are also decided in advance and the relevant statistical tools identified in the planning stage of ...
Rakesh Garg +3 more
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Back Analysis Algorithm of Soil Parameter Based on Non-parametric Regression [PDF]
Jisuanji gongcheng, 2016 Because of the uncertainty factors such as test condition,the variability of soil properties,soil sampling methods,sample disturbance and so on,test results of soil parameters obtained by field test have the discreteness.And results obtained by ...
CAO Jing,SUN Changning,ZHANG Ruimei,SONG Zhigang,LIU Haiming
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