String theory attempts to unify general relativity and quantum theory. Popular in the 1990s, string theory fell out of favor ...
Physicists searching for a better understanding of quantum gravity stumbled upon something unexpected: the defining ...
Bootstrap methods form a class of non‐parametric resampling techniques used to assess the variability and distributional properties of statistical estimators. By repeatedly drawing samples with ...
Abstract: In the reliability analysis of repairable systems, the power law process (PLP) is most commonly used to model the failure process of a repairable system. The estimates of some important ...
We discuss the following problem: given a random sample $\mathbf{X} = (X_1, X_2, \cdots, X_n)$ from an unknown probability distribution $F$, estimate the sampling ...
2 Department of Statistics and Operations Research, University of Vigo, Spain 3 Unit of Biostatistics, Department of Statistics and Operations Research, University of Santiago de Compostela ...
Abstract: In this paper we address the problem of performing statistical inference for large scale data sets i.e., Big Data. The volume and dimensionality of the data may be so high that it cannot be ...
"The Iceman" Wim Hof claims a combination of breathing exercises and cold exposure can bring people many benefits, including increased willpower; fat loss; a "fortified" immune response; "balanced" ...
We released a Python package stresampling for statistical analysis using the stationary bootstrap method. The package is flexible and applicable to user-defined physical quantities. Please see the ...
In mediation analysis, conditions necessary for commonly recommended tests, including the confidence interval (CI)-based tests, to produce an accurate Type I error, do not generally hold for finite ...
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