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Fuel Grain Configuration Adaptation for High-Regression-Rate Hybrid Propulsion Applications
AerospaceLow regression rate is the most critical issue for the development and application of hybrid rocket motors (HRMs). Paraffin-based fuels are potential candidates for HRMs due to their high regression rates but adding polymers to improve strength results ...
Lin-Lin Liu +3 more
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Aerospace, 2019 The last decade has seen an almost exponential increase in the number of rocket launches for sounding missions or for delivering payloads into low Earth orbits.
Mitchell McFarland, Elsa Antunes
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Crack Growth Rate Model Derived from Domain Knowledge-Guided Symbolic Regression
Chinese Journal of Mechanical Engineering, 2023 Machine learning (ML) has powerful nonlinear processing and multivariate learning capabilities, so it has been widely utilised in the fatigue field. However, most ML methods are inexplicable black-box models that are difficult to apply in engineering ...
Shuwei Zhou +4 more
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Adaptive goodness-of-fit tests based on signed ranks [PDF]
, 2008 Within the nonparametric regression model with unknown regression function $l$ and independent, symmetric errors, a new multiscale signed rank statistic is introduced and a conditional multiple test of the simple hypothesis $l=0$ against a nonparametric ...
Rohde, Angelika
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Solid-Fuel Regression Rate for Standard-Flow Hybrid Rocket Motors
Journal of Thermal Science and Technology, 2012 Marxman's diffusion-limited analysis of hybrid rocket combustion has been often used to investigate various combustion problems in hybrid rocket motors.
Takakazu MORITA +3 more
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Familywise Error Rate Control via Knockoffs [PDF]
, 2015 We present a novel method for controlling the $k$-familywise error rate ($k$-FWER) in the linear regression setting using the knockoffs framework first introduced by Barber and Cand\`es.
Janson, Lucas, Su, Weijie
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A general asymptotic scheme for inference under order restrictions
, 2006 Limit distributions for the greatest convex minorant and its derivative are considered for a general class of stochastic processes including partial sum processes and empirical processes, for independent, weakly dependent and long range dependent data ...
Anevski, D., Hössjer, O.
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Robust nonparametric estimation via wavelet median regression [PDF]
, 2008 In this paper we develop a nonparametric regression method that is simultaneously adaptive over a wide range of function classes for the regression function and robust over a large collection of error distributions, including those that are heavy-tailed,
Brown, Lawrence D. +2 more
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Malaria Journal, 2019 Background Emerging resistance to anti-malarial drugs has led malaria researchers to investigate what covariates (parasite and host factors) are associated with resistance.
Saeed Sharifi-Malvajerdi +7 more
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Analyses of Developmental Rate Isomorphy in Ectotherms: Introducing the Dirichlet Regression. [PDF]
PLoS ONE, 2015 Temperature drives development in insects and other ectotherms because their metabolic rate and growth depends directly on thermal conditions. However, relative durations of successive ontogenetic stages often remain nearly constant across a substantial ...
David S Boukal +5 more
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