Results 21 to 30 of about 22,159 (266)
Short-term power load interval forecasting based on nonparametric Bootstrap errors sampling
Energy Reports, 2022 Short-term power load forecasting plays a vital role in the planning of distribution network and the development of social economy. Many researchers have devoted their attention to construct point forecasting models.
Ling Xiao, Miaotong Li, Shenghui Zhang
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HW_TEST, a program for comprehensive HARDY-WEINBERG equilibrium testing [PDF]
Genetics and Molecular Biology, 2020 This article deals with a Windows (© Microsoft Inc.) executable, user-friendly program that tests the hypothesis of Hardy-Weinberg (HW) proportions from autosomal multiallelic data using different methods that include parametric, nonparametric and exact ...
Fernando Azenha Bautzer Santos +2 more
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An Improvement of the Nonparametric Bootstrap Test for the Comparison of the Coefficient of Variations [PDF]
Communications in Statistics - Simulation and Computation, 2010 In this paper, we propose a new test for examining the equality of the coefficient of variation between two different populations. The proposed test is based on the nonparametric bootstrap method. It appears to yield several appreciable advantages over the current tests.
Saeid Amiri, Silvelyn Zwanzig
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survPresmooth: An R Package for Presmoothed Estimation in Survival Analysis
Journal of Statistical Software, 2013 The survPresmooth package for R implements nonparametric presmoothed estimators of the main functions studied in survival analysis (survival, density, hazard and cumulative hazard functions). Presmoothed versions of the classical nonparametric estimators
ignacio López-de-Ullibarri +1 more
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Bootstrap Methods for Epistemic Fuzzy Data
International Journal of Applied Mathematics and Computer Science, 2022 Fuzzy numbers are often used for modeling imprecise perceptions of the real-valued observations. Such epistemic fuzzy data may cause problems in statistical reasoning and data analysis. We propose a universal nonparametric technique, called the epistemic
Grzegorzewski Przemysław +1 more
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Nonparametric bootstrap tests for independence of generalized errors [PDF]
The Econometrics Journal, 2009 Summary In this paper, we develop a general method of testing for independence when unobservable generalized errors are involved. Our method can be applied to testing for serial independence of generalized errors, and testing for independence between the generalized errors and observable covariates.
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Nonparametric Inference in Mixture Cure Models
Proceedings, 2018 A completely nonparametric method for the estimation of mixture cure models is proposed. Nonparametric estimators for the cure probability (incidence) and for the survival function of the uncured population (latency) are introduced.
Ana López-Cheda +3 more
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Energies, 2020 Uncertainty of greenhouse gas (GHG) emissions was analyzed using the parametric Monte Carlo simulation (MCS) method and the non-parametric bootstrap method.
Kun Mo Lee +3 more
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The Percentile Bootstrap: A Primer With Step-by-Step Instructions in R
Advances in Methods and Practices in Psychological Science, 2021 The percentile bootstrap is the Swiss Army knife of statistics: It is a nonparametric method based on data-driven simulations. It can be applied to many statistical problems, as a substitute to standard parametric approaches, or in situations for which ...
Guillaume A. Rousselet +2 more
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Acta PsychologicaNature- and agriculture-based activities are increasingly used as accessible, non-pharmacological supports for psychological well-being, yet heterogeneous designs and measures complicate interpretation across studies.
In-Kyoung Hong +8 more
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