Results 21 to 30 of about 2,020,990 (315)
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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Nonparametric estimation of an additive quantile regression model [PDF]
, 2004 This paper is concerned with estimating the additive components of a nonparametric additive quantile regression model. We develop an estimator that is asymptotically normally distributed with a rate of convergence in probability of n^{-r/(2+10)} when ...
Joel L. Horowitz +5 more
core +1 more source
International Journal of Turbomachinery, Propulsion and Power, 2020 Injection pattern of the oxidizer injected into the combustion chamber is a significant factor in evaluating the performance of a hybrid rocket. In the hybrid rocket combustion process, oxidizer flows over the solid fuel grain surface, leading to a ...
Pragya Berwal, Shelly Biswas
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Innovative Methods to Enhance the Combustion Properties of Solid Fuels for Hybrid Rocket Propulsion
Aerospace, 2019 The low regression rates for hydroxyl-terminated polybutadiene (HTPB)-based solid fuels and poor mechanical properties for the alternative paraffin-based liquefying fuels make today hybrid rocket engines far from the outstanding accomplishments of solid ...
Suhang Chen +6 more
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AN ALTERNATIVE TO ECOLOGIC REGRESSION ANALYSIS OF MORTALITY RATES [PDF]
American Journal of Epidemiology, 1982 A number of recent papers have used geographically defined data and linear models to study the relationship between a series of epidemiologic factors and the frequency of disease. This "ecologic regression" approach involves serious problems of interpretation.
S, Selvin, D, Merrill, S T, Sacks
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Direct regression models for longitudinal rates of change [PDF]
Statistics in Medicine, 2014 Comparing rates of growth, or rates of change, across covariate‐defined subgroups is a primary objective for many longitudinal studies. In the special case of a linear trend over time, the interaction between a covariate and time will characterize differences in longitudinal rates of change.
Bryan, Matthew, Heagerty, Patrick J.
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Trials, 2019 Background Condom use can reduce the risk of infection by human papillomavirus (HPV). Furthermore, it has been suggested that condom use can increase the regression rate of cervical lesions. In Denmark, women with cervical intraepithelial neoplasia grade
Malene Skorstengaard +2 more
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Robust linear regression: optimal rates in polynomial time [PDF]
Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing, 2021 Updated exposition of sum-of-squares background and ...
Ainesh Bakshi, Adarsh Prasad
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An Investigation on the Effect of Chemical Kinetics Mechanisms in the Modeling of Combustive Gaseous Oxidizer Flow on a Solid Fuel Surface [PDF]
فصلنامه علوم و فناوری فضایی, 2010 In this study, the combustion process of gaseous Oxygen on the surface of HTPB solid fuel has been investigated. To simulate the chemically reactive flow, Navier-Stokes equations and species transport equations were solved using LU-SW implicit scheme ...
M. Ahangar, R. Ebrahimi
doaj
Optimal Rate of Kernel Regression in Large Dimensions
CoRR, 2023 We perform a study on kernel regression for large-dimensional data (where the sample size $n$ is polynomially depending on the dimension $d$ of the samples, i.e., $n\asymp d^γ$ for some $γ>0$ ). We first build a general tool to characterize the upper bound and the minimax lower bound of kernel regression for large dimensional data through the ...
Weihao Lu 0002 +4 more
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