Results 11 to 20 of about 22,159 (266)
Robust multivariate nonparametric tests for detection of two-sample location shift in clinical trials. [PDF]
PLoS ONE, 2018 This article presents and investigates performance of a series of robust multivariate nonparametric tests for detection of location shift between two multivariate samples in randomized controlled trials.
Xuejun Jiang +4 more
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A Bayesian Nonparametric Learning Approach to Ensemble Models Using the Proper Bayesian Bootstrap
Algorithms, 2021 Bootstrap resampling techniques, introduced by Efron and Rubin, can be presented in a general Bayesian framework, approximating the statistical distribution of a statistical functional ϕ(F), where F is a random distribution function.
Marta Galvani +3 more
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Nonparametric bootstrap prediction
Bernoulli, 2005 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Fushiki, Tadayoshi +2 more
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Selected Statistical Tests for Median and Their Properties
Acta Universitatis Lodziensis. Folia Oeconomica, 2017 In the paper, a selection of statistical tests for median are presented. In particular, parametric and nonparametric significance tests are considered.
Dorota Pekasiewicz, Agata Szczukocka
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A Nonparametric Bootstrap Method for Heteroscedastic Functional Data
Journal of Agricultural, Biological and Environmental Statistics, 2023 AbstractThe objective is to provide a nonparametric bootstrap method for functional data that consists of independent realizations of a continuous one-dimensional process. The process is assumed to be nonstationary, with a functional mean and a functional variance, and dependent.
Rubén Fernández‐Casal +2 more
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Web-Bootstrap Estimate of Area Under ROC Curve
Austrian Journal of Statistics, 2016 The accuracy of binary discrimination models (discrimination between cases with and without any condition) is usually summarized by classification matrix (also called a confusion, assignment, or prediction matrix). Receiver operating characteristic (ROC)
Hana Skalská, Václav Freylich
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UJI KOEFISIEN VARIANSI KONSTAN DALAM REGRESI NONPARAMETRIK
Infinity, 2015 ABSTRAK Tulisan ini membahas uji baru untuk hipotesis koefisien variansi konstan dalam model umum regresi nonparametrik. Uji ini didasarkan pada estimasi jarak antara kuadrat dari fungsi regresi dan fungsi varians.
Asri Ode Samura
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A fuzzy nonparametric Shewhart chart based on the bootstrap approach
International Journal of Applied Mathematics and Computer Science, 2015 In this paper, we consider a nonparametric Shewhart chart for fuzzy data. We utilize the fuzzy data without transforming them into a real-valued scalar (a representative value).
Wang Dabuxilatu, Hryniewicz Olgierd
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Comparison of nonparametric estimators versus parametric for reliability function
Ingeniería Investigación y Desarrollo, 2015 One of the main objectives of the area of realiability is to estimate the function of reliability, where traditionally are used non parametric estimators, being more efficient in sample of big sizes.
Javier Ramírez-Montoya
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Bootstrap Statistical Inference for the Variance Based on Fuzzy Data
Austrian Journal of Statistics, 2016 The bootstrap is a simple and straightforward method for calculating approximated biases, standard deviations, confidence intervals, testing statistical hypotheses, and so forth, in almost any nonparametric estimation problem. In this paper we describe a
Mohammad Ghasem Akbari +1 more
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