TROPOMI Satellite Data Reshape NO 2 Air Pollution Land-Use Regression Modeling Capabilities in the United States
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M. Omar Nawaz↗
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Results for “REGRESSION”
Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.
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Quantifying the effects of neutron dose, dose protraction, age and sex on mouse survival using parametric regression and machine learning on a 21,000-mouse data set
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Eric Wang↗
Imbalanced Regression Artificial Neural Network Model for Auroral Electrojet Indices (IRANNA): Can We Predict Strong Events?
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Xiangning Chu↗
A 2‐D empirical plasma sheet pressure model for substorm growth phase using the Support Vector Regression Machine
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Chao Yue↗
Thermodynamic re-assessment of pure chromium using modified segmented regression model
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A. Obaied↗
Combining electrochemistry and data-sparse Gaussian process regression for lithium-ion battery hybrid modeling
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Jackson Fogelquist↗
APPLICATION OF MULTIPLE REGRESSION ANALYSIS TO IDENTIFICATION TIME-VARYING LINEAR DYNAMIC SYSTEMS
Dynamic response characteristics of time-varying linear systems
LINEAR SYSTEM↗
APPLICATION OF MULTIPLE REGRESSION ANALYSIS TO IDENTIFICATION OF TIME-VARYING LINEAR DYNAMIC SYSTEMS
Determining the dynamic response characteristics of time-varying linear systems
LINEAR SYSTEM↗
Application of non-linear regression analysis and of analysis of variance to the determina- tion of periods of events defined by irregularly spaced observations
Accurate periods of periodic events observed at irregular intervals of time
TIME FACTOR↗
An analysis of regression estimators for urban employment multipliers and their application to the employment impact of the aerospace industry in the st. louis standard metropolitan statistical area
Urban employment multipliers and their application to aerospace industry
INDUSTRY↗
Development of an orbit determination program to regress for lunar potential constants
Orbit calculation program modified to provide corrected state vectors for lunar potential constants in moon centered coordinate system
STATE VECTOR↗
Investigation of basin characteristics extracted from ERTS data for improving regression estimates of streamflow
There are no author-identified significant results in this report.
Hollyday, E. F.↗
A regression technique for determining temperature profiles in the upper stratosphere from satellite-measured radiances.
A technique is described whose application makes it possible to almost double the altitude range over which useful temperature profiles may be obtained. For a wide range of atmospheric temperature profiles, the temperature structure between 30 and 55 km may be derived with an expected error of less than 3 C at 30 km to less than 10 C at 55 km, given the temperature structure in the lower 30 km of the profile, and given a consistent and accurate set of radiance observations. For strongly anomalous conditions in the stratosphere, the accuracy of retrievals at tropospheric levels may also be substantially improved.
Gelman, M. E.↗
Regression technique for determining temperature profiles in the upper stratosphere from satellite-measured radiances.
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Gelman, M. E.↗
Investigation of basin characteristics extracted from ERTS data for improving regression estimates of streamflow
There are no author-identified significant results in this report.
Hollyday, E. F.↗
Determination of solid-propellant transient regression rates using a microwave Doppler shift technique.
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Strand, L. D.↗
Application of regression analysis to creep of space shuttle materials
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Rummler, D. R.↗
Chain pooling to minimize prediction error in subset regression
Monte Carlo studies using population models intended to represent response surface applications are reported. Simulated experiments were generated by adding pseudo random normally distributed errors to population values to generate observations. Model equations were fitted to the observations and the decision procedure was used to delete terms. Comparison of values predicted by the reduced models with the true population values enabled the identification of deletion strategies that are approximately optimal for minimizing prediction errors.
Holms, A. G.↗