Results 11 to 20 of about 3,880,374 (297)
Modeling and CFD Simulation of Regression Rate in Hybrid Rocket Motors
Fire, 2023 As the research on hybrid rocket motors advances, more accurate tools are needed to estimate the performance of the system by determining its fundamental parameters. One of them is certainly the regression rate of the solid fuel.
Alessandro Rampazzo, Francesco Barato
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Model instability in predictive exchange rate regressions [PDF]
Journal of Forecasting, 2019 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
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Minimax rate for optimal transport regression between distributions
Statistics & Probability Letters, 2022 Distribution-on-distribution regression considers the problem of formulating and estimating a regression relationship where both covariate and response are probability distributions. The optimal transport distributional regression model postulates that the conditional Fréchet mean of the response distribution is linked to the covariate distribution via
Ghodrati, Laya, Panaretos, Victor M.
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Study on Thermal Degradation Characteristics and Regression Rate Measurement of Paraffin-Based Fuel
Energies, 2015 Paraffin fuel has been found to have a regression rate that is higher than conventional HTPB (hydroxyl-terminated polybutadiene) fuel and, thus, presents itself as an ideal energy source for a hybrid rocket engine.
Songqi Hu +4 more
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Parametric Regression Models Using Reversed Hazard Rates [PDF]
Journal of Probability and Statistics, 2014 Proportional hazard regression models are widely used in survival analysis to understand and exploit the relationship between survival time and covariates. For left censored survival times, reversed hazard rate functions are more appropriate. In this paper, we develop a parametric proportional hazard rates model using an inverted Weibull distribution ...
Variyath, Asokan Mulayath +1 more
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Energies, 2019 In this paper, the effect of sudden expansion ratio of solid fuel ramjet (SFRJ) combustor is numerically investigated with swirl flow. A computational fluid dynamics (CFD) code is written in FORTRAN to simulate the combustion and flow patterns in the ...
Weixuan Li +3 more
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A Study of Count Regression Models for Mortality Rate
Cauchy: Jurnal Matematika Murni dan Aplikasi, 2021 This paper discusses how overdispersed count data to be fit. Poisson regression model, Negative Binomial 1 regression model (NEGBIN 1) and Negative Binomial regression 2 (NEGBIN 2) model were proposed to fit mortality rate data.
Anwar Fitrianto
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Learning Rates of Least-Square Regularized Regression [PDF]
Foundations of Computational Mathematics, 2005 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wu, Qiang, Ying, Yiming, Zhou, Ding-Xuan
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MODELING CLUSTERWISE LINEAR REGRESSION ON POVERTY RATE IN INDONESIA
Barekeng, 2023 When a person's income is so low that it cannot cover even the most basic living expenses, they are said to be poor. Data on poverty levels and hypothesized causes are used in this study. If the data pattern forms clusters, one of the regression analyses
Eni Meylisah +4 more
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Statistical inference in compound functional models [PDF]
, 2012 We consider a general nonparametric regression model called the compound model. It includes, as special cases, sparse additive regression and nonparametric (or linear) regression with many covariates but possibly a small number of relevant covariates ...
Dalalyan, Arnak +2 more
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