An application of generalized matrix inversion to sequential least squares parameter estimation
Generalized matrix inversion theory used in formulating recursive algorithm for least squares parameter estimation
INVERSION↗
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Results for “parameter estimation”
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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Optimal inputs for parameter estimation in dynamic systems with white observation noise.
Optimal deterministic inputs derived for estimating dynamic control system parameters from white observation noise
Nahi, N. E.↗
Resolvability of objects from the standpoint of statistical parameter estimation
Radiance estimation and object resolvability by statistical parameter analysis of aperture field
Helstrom, C. W.↗
Comparisons and combinations of geodetic parameters estimated from dynamic and geometric satellite solutions and from Mariner flights.
Comparisons and combinations of geodetic parameters from dynamic and geometric satellite solutions and Mariner flights
Lambeck, K.↗
A Monte Carlo approach to the evaluation of conditional expectation parameter estimates for nonlinear dynamic systems.
Monte Carlo methods for conditional expectation for nonlinear dynamic systems with acceptable computing time expenditure
Mcghee, R. B.↗
Resolvability of objects from the standpoint of statistical parameter estimation
Statistical estimation of resolvability of incoherently radiating object sampled at aperture field of observing optical instrument, using Cramer-Rao inequality
Helstrom, C. W.↗
Estimation of the parameters in exponential decontamination models
Parameter estimation in exponential decontamination models
PROBABILITY THEORY↗
Estimation of the parameters of sampled-data systems by stochastic approximation
Parameter estimation of sampled data control systems by stochastic approximation
Neal, C. B.↗
Efficient recursive estimation - application to estimating the parameters of a covariance function.
Estimating parameters of covariance function with modified stochastic approximation
STATISTICAL CORRELATION↗
The use of integral transforms in the estimation of time variable parameters
Integral transformations used in time variable parameter estimation
Crane, D. F.↗
Estimation of parameters in compound Weibull distributions
Estimating procedure using electronic digital computers applicable to experiments in which mixed Weibull distribution is statistical model
DIGITAL COMPUTER↗
Estimating the parameters of the object of optimization
Statistical estimates for random search parameters in optimization of control system
Zuev, A. K.↗
Cramer-Rao efficiencies of best linear invariant estimators of parameters of the extreme-value distribution under type II censoring from above
Cramer-Rao efficiencies of best linear invariant estimators, using Weibull distribution in model for survival populations connected with life testing
Mann, N. R.↗
Minimum variance estimates of gyroscopic drift parameters.
Minimum variance estimation for gyroscopic drift parameters, discussing optimal estimation procedure and noise model
Price, C. F.↗
Estimation of Object Parameters by a Quantum-limited Optical System
Quantum limited optical system for estimating parameters of incoherently radiating object
Helstrom, C. W.↗
Estimation in the negative binomial distribution
Procedures for parameter estimation of negative binomial distribution
PROBABILITY DISTRIBUTION↗
Estimation for a Simple Exponential Model
Methods of parameter estimation for exponential model arising in epidemiological studies and biological assay
HEALTH↗
Optimal estimation in the presence of unknown parameters.
Optimal estimation of sampled stochastic process with finite state unknown parameters
Hilborn, C. G., Jr.↗