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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
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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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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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Goodness-of-Fit of Logistic Regression of the Default Rate on GDP Growth Rate and on CDX Indices
Mathematics, 2021 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
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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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