Results 31 to 40 of about 2,020,990 (315)
Fuel Grain Configuration Adaptation for High-Regression-Rate Hybrid Propulsion Applications
Low 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
doaj +1 more source
Goodness-of-Fit of Logistic Regression of the Default Rate on GDP Growth Rate and on CDX Indices
Under the Basel II and Basel III agreements, the probability of default (PD) is a key parameter used in calculating expected credit loss (ECL), which is typically defined as: PD × Loss Given Default × Exposure at Default.
Kuang-Hua Hu +3 more
doaj +1 more source
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
doaj +1 more source
Crack Growth Rate Model Derived from Domain Knowledge-Guided Symbolic Regression
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
doaj +1 more source
Global Bahadur Representation For NonParametric Censored Regression Quantiles and its Applications [PDF]
This paper is concerned with the nonparametric estimation of regression quantiles of a response variable that is randomly censored. Using results on the strong uniform convergence rate of U-processes, we derive a global Bahadur representation for a ...
Linton, Oliver +2 more
core +1 more source
Solid-Fuel Regression Rate for Standard-Flow Hybrid Rocket Motors
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
doaj +1 more source
Penalized wavelet monotone regression [PDF]
In this paper we focus on nonparametric estimation of a constrained regression function using penalized wavelet regression techniques. This results into a convex op- timization problem under linear constraints.
Irène Gijbels +5 more
core +1 more source
Model instability in predictive exchange rate regressions [PDF]
AbstractIn this paper we aim to improve existing empirical exchange rate models by accounting for uncertainty with respect to the underlying structural representation. Within a flexible Bayesian framework, our modeling approach assumes that different regimes are characterized by commonly used structural exchange rate models, with transitions across ...
Hauzenberger, Niko, Huber, Florian
openaire +8 more sources
ABSTRACT Background Osteosarcoma (OS) and Ewing sarcoma (EWS) are the most common primary bone cancers in children, but acute thrombosis is poorly characterized in this population. Our study evaluated the rates of venous thromboembolism (VTE) and associated risk factors in pediatric patients with bone sarcomas treated over a 10‐year period encompassing
Sarah Kappa +8 more
wiley +1 more source
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
doaj +1 more source

