Add to ORKGEquations are presented which attempt to fit least squares polynomials to tables of date. It is concluded that much data are needed to reduce the measurement error standard deviation by a significant amount, however at certain points great accuracy is attained
Shuttle flight test data were used to determine values for the short-period parameters. The best ide...
Application of polynomial-smoothing formulas and related derivative-estimating formulas simplifies c...
Discrete probability law obtained by assuming Poisson variable parameter is distributed according to...
Least squares, minimum variance, and Kalman estimation applied to mathematical model of free flight ...
A methodology was formulated, and a general computer code implemented for processing sinusoidal vibr...
Least squares estimation is discussed from the point of view of a statistician. Much of the emphasis...
Mathematical filter scheme for bounding cross correlation between random forcing function and state ...
Two orbit computation methods were used: (1) numerical method- The solution to the satellite differe...
Index program for bibliography on systems evaluation, simulation languages, mathematical models, and...
Least squares method theory and application to curve fitting, data smoothing, and solution of overde...
Design information from mathematical analysis of manually controlled lunar flying vehicl
Monte Carlo method for obtaining histogram of distribution of minimum fuel midcourse velocity correc...
Computer programming formulas for frequency and statistical analysis of random waveform signals incl...
The key variables accounting for the nature, timing and magnitude of the equipment and re-equipment ...
The technical progress of researches on alternatives for jet engine control is reported. Extensive n...
Shuttle flight test data were used to determine values for the short-period parameters. The best ide...
Application of polynomial-smoothing formulas and related derivative-estimating formulas simplifies c...
Discrete probability law obtained by assuming Poisson variable parameter is distributed according to...
Least squares, minimum variance, and Kalman estimation applied to mathematical model of free flight ...
A methodology was formulated, and a general computer code implemented for processing sinusoidal vibr...
Least squares estimation is discussed from the point of view of a statistician. Much of the emphasis...
Mathematical filter scheme for bounding cross correlation between random forcing function and state ...
Two orbit computation methods were used: (1) numerical method- The solution to the satellite differe...
Index program for bibliography on systems evaluation, simulation languages, mathematical models, and...
Least squares method theory and application to curve fitting, data smoothing, and solution of overde...
Design information from mathematical analysis of manually controlled lunar flying vehicl
Monte Carlo method for obtaining histogram of distribution of minimum fuel midcourse velocity correc...
Computer programming formulas for frequency and statistical analysis of random waveform signals incl...
The key variables accounting for the nature, timing and magnitude of the equipment and re-equipment ...
The technical progress of researches on alternatives for jet engine control is reported. Extensive n...
Shuttle flight test data were used to determine values for the short-period parameters. The best ide...
Application of polynomial-smoothing formulas and related derivative-estimating formulas simplifies c...
Discrete probability law obtained by assuming Poisson variable parameter is distributed according to...