Results 31 to 40 of about 20,763 (296)
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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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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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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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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, 2023 The companion website to this manuscript: Cheung, S. F., Pesigan, I. J. A., & Vong, W. N. (2022). DIY bootstrapping: Getting the nonparametric bootstrap confidence interval in SPSS for any statistics or function of statistics (when this bootstrapping
Vong Weng Ngai +2 more
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Improved Nonparametric Bootstrap Tests of Lorenz Dominance
, 2019 One income or wealth distribution is said to Lorenz dominate another when the Lorenz curve for the former is nowhere below that of the latter, indicating a (weakly) more equitable allocation of resources.
Zhenting Sun (7041506) +1 more
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, 2023 Wheeled mobile robots (WMRs) inevitably experience positional inaccuracy, which is caused by a number of factors including design imperfections, problems with component fabrication, sensor errors, and electromechanical malfunction.
Kourosh Zareinia (16641192) +1 more
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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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Parametric and nonparametric bootstrap methods for general MANOVA
Journal of Multivariate Analysis, 2015 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Frank Konietschke +3 more
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, 2016 A theoretical model to test the robustness of the parametric and nonparametric bootstrap simulations used in the seasonal production ...
W. G. Sprules (2913968) +2 more
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