Results 11 to 20 of about 304,135 (266)
Exploring the impact of imaging cadence on inferring CME kinematics
Frontiers in Astronomy and Space Sciences, 2023 The kinematics of coronal mass ejections (CMEs) are crucial for understanding their initiation mechanism and predicting their impact on Earth and other planets.
Nitin Vashishtha +6 more
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Revista de Métodos Cuantitativos para la Economía y la Empresa, 2021 Stock price determination is one of the main issues involved in the acquisition of companies. The transparency and high volume of the stock market make it possible to ascertain valuation multiples.
Vidal García, Raúl +2 more
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The Bootstrapping Service [PDF]
26th IEEE International Conference on Distributed Computing Systems Workshops (ICDCSW'06), 2006 We outline a lightweight architecture to support novel application scenarios for P2P systems. These scenarios include merging and splitting of large networks, or multiplexing relatively short-lived applications over a pool of shared resources. In such scenarios, the architecture needs to be quickly and efficiently (re)generated frequently, often from ...
Márk Jelasity +2 more
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How to Address Non-normality: A Taxonomy of Approaches, Reviewed, and Illustrated
Frontiers in Psychology, 2018 The linear model often serves as a starting point for applying statistics in psychology. Often, formal training beyond the linear model is limited, creating a potential pedagogical gap because of the pervasiveness of data non-normality.
Jolynn Pek +3 more
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Quantitative Analysis of Colostrum Bacteriology on British Dairy Farms
Frontiers in Veterinary Science, 2020 Total bacterial counts (TBC) and coliform counts (CC) were estimated for 328 colostrum samples from 56 British dairy farms. Samples collected directly from cows' teats had lower mean TBC (32,079) and CC (21) than those collected from both colostrum ...
Robert M. Hyde +3 more
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Parameter Estimation in Stable Law
Risks, 2016 For general stable distribution, cumulant function based parameter estimators are proposed. Extensive simulation experiments are carried out to validate the effectiveness of the estimates over the entire parameter space.
Annika Krutto
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Campus, 2020 La investigación tiene como objetivo mostrar la eficiencia de la metodología Bootstrap en la construcción de límites de los diagramas de control del promedio ( X ) - Rango (R), su empleo en las gráficas de control de Wu y Wang (1996) y comparar los ...
Celso Gonzales Chavesta
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A Bootstrap Method for a Multiple-Imputation Variance Estimator in Survey Sampling
Stats, 2022 Rubin’s variance estimator of the multiple imputation estimator for a domain mean is not asymptotically unbiased. Kim et al. derived the closed-form bias for Rubin’s variance estimator.
Lili Yu, Yichuan Zhao
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Вопросы лесной науки, 2023 This paper provides an overview of scientific publications in Russia and other countries devoted to the soil organic carbon (SOC) content and stocks mapping at the regional and local levels. The analysis showed that the cartographic assessment of the SOC
N. V. Gopp +4 more
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The Stationary Bootstrap [PDF]
Journal of the American Statistical Association, 1994 Abstract This article introduces a resampling procedure called the stationary bootstrap as a means of calculating standard errors of estimators and constructing confidence regions for parameters based on weakly dependent stationary observations. Previously, a technique based on resampling blocks of consecutive observations was introduced to construct ...
Politis, Dimitris Nicolas +3 more
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