Results 21 to 30 of about 12,415,159 (263)
Non-parametric specification testing of non-nested econometric models [PDF]
We consider the non-nested testing prqblem of non-parametric regressions. We show that, when the regression functions are unknown under both the null and the alternative hypotheses, an extension of the J-test procedure of Davidson and Mackinnon (1981 ...
Delgado, Miguel A. +2 more
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Estimación no paramétrica de la densidad y de la regresión - previsión no paramétrica
We begin with a short wiew of non parametric estimation of density and regression; then we give details and interpretation of a forecasting method, called non parametric forecasting .
Michel Carbon, Christian Francq
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The impact of institutions on innovation networks: empirical evidence from Poland
Innovation networks may accelerate and improve the innovation process, while institutional pathologies may hamper it. This study employs the Kruskal-Wallis H test and regression analysis to determine if the relationship between institutions and ...
Małgorzata Godlewska +2 more
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On Language Clustering: Non-parametric Statistical Approach
Any approach aimed at pasteurizing and quantifying a particular phenomenon must include the use of robust statistical methodologies for data analysis. With this in mind, the purpose of this study is to present statistical approaches that may be employed in nonparametric nonhomogeneous data frameworks, as well as to examine their application in the ...
Anagh Chattopadhyay +2 more
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Joint Distributions of Several Non-Parametric Statistics and Tests Based on Them [PDF]
Title: Joint Distributions of Several Non-Parametric Statistics and Tests Based on Them, Author: C. I. Petros, Location: ThodeThis thesis deals with joint distributions of several non-parametric statistics, and considers certain tests based on them.
Petros, C.I.
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Genotype by environment interaction and yield stability in sugarcane
Genotype by environment interaction (GEI) reduces the association between phenotype and genotype which result in relative ranking and stability differences of genotypes across environment.
Ramon Antonio Rea +4 more
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The spatial stochastic co-simulation method based on copulas is a general method that allows simulating variables with any type of dependency and probability distribution functions.
Daniel Vázquez-Ramírez +4 more
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A Novel Non-Parametric Spatiotemporal Scan Statistic: An Application to Detect Disease Outbreaks
The majority of the widely used scan statistics are based on distributional assumptions. Contrary to the existing methods, with a new perspective in clustering, the Mann-Whitney Scan Statistic was introduced to detect clusters in continuous data indexed ...
Kethmi H. Hettige +1 more
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Cluster-based permutation tests are widely used in neuroscience studies for the analysis of high-dimensional electroencephalography (EEG) and event-related potential (ERP) data as it may address the multiple comparison problem without reducing the ...
Diego Candia-Rivera, Gaetano Valenza
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Parametric test for non-normally distributed continuous data: For and against
Choosing between parametric and non-parametric statistical tests for analysis of non-normally distributed continuous data is a long-standing controversy.
Umesh Wadgave, Mahesh Ravindra Khairnar
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